Datasets:

sugiken
/

ordis-pure-skill-clean

Tasks:

Tabular Classification

Modalities:

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Tags:

binary-classification

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train · 21.7k rows

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boat_no int64	oppo_ST平均_image_max float64	oppo_ST平均_image_mean float64	oppo_ST平均_image_min float64	oppo_ST平均_image_std float64	oppo_count_級別_image_A1 float64	oppo_count_級別_image_A2 float64	oppo_count_級別_image_B1 float64	oppo_count_級別_image_B2 float64	oppo_イン1着率_image_max float64	oppo_イン1着率_image_mean float64	oppo_イン1着率_image_min float64	oppo_イン1着率_image_std float64	oppo_ボート2連率_image_max float64	oppo_ボート2連率_image_mean float64	oppo_ボート2連率_image_min float64	oppo_ボート2連率_image_std float64	oppo_モーター2連率_image_max float64	oppo_モーター2連率_image_mean float64	oppo_モーター2連率_image_min float64	oppo_モーター2連率_image_std float64	oppo_体重_image_max float64	oppo_体重_image_mean float64	oppo_体重_image_min float64	oppo_体重_image_std float64	oppo_全国2連率_image_max float64	oppo_全国2連率_image_mean float64	oppo_全国2連率_image_min float64	oppo_全国2連率_image_std float64	oppo_全国勝率_image_max float64	oppo_全国勝率_image_mean float64	oppo_全国勝率_image_min float64	oppo_全国勝率_image_std float64	oppo_平均S順_image_max float64	oppo_平均S順_image_mean float64	oppo_平均S順_image_min float64	oppo_平均S順_image_std float64	oppo_年齢_image_max float64	oppo_年齢_image_mean float64	oppo_年齢_image_min float64	oppo_年齢_image_std float64	oppo_当地2連率_image_max float64	oppo_当地2連率_image_mean float64	oppo_当地2連率_image_min float64	oppo_当地2連率_image_std float64	oppo_当地勝率_image_max float64	oppo_当地勝率_image_mean float64	oppo_当地勝率_image_min float64	oppo_当地勝率_image_std float64	race_agg_ST平均_image_max float64	race_agg_ST平均_image_mean float64	race_agg_ST平均_image_min float64	race_agg_ST平均_image_std float64	race_agg_イン1着率_image_max float64	race_agg_イン1着率_image_mean float64	race_agg_イン1着率_image_min float64	race_agg_イン1着率_image_std float64	race_agg_ボート2連率_image_max float64	race_agg_ボート2連率_image_mean float64	race_agg_ボート2連率_image_min float64	race_agg_ボート2連率_image_std float64	race_agg_モーター2連率_image_max float64	race_agg_モーター2連率_image_mean float64	race_agg_モーター2連率_image_min float64	race_agg_モーター2連率_image_std float64	race_agg_体重_image_max float64	race_agg_体重_image_mean float64	race_agg_体重_image_min float64	race_agg_体重_image_std float64	race_agg_全国2連率_image_max float64	race_agg_全国2連率_image_mean float64	race_agg_全国2連率_image_min float64	race_agg_全国2連率_image_std float64	race_agg_全国勝率_image_max float64	race_agg_全国勝率_image_mean float64	race_agg_全国勝率_image_min float64	race_agg_全国勝率_image_std float64	race_agg_平均S順_image_max float64	race_agg_平均S順_image_mean float64	race_agg_平均S順_image_min float64	race_agg_平均S順_image_std float64	race_agg_年齢_image_max float64	race_agg_年齢_image_mean float64	race_agg_年齢_image_min float64	race_agg_年齢_image_std float64	race_agg_当地2連率_image_max float64	race_agg_当地2連率_image_mean float64	race_agg_当地2連率_image_min float64	race_agg_当地2連率_image_std float64	race_agg_当地勝率_image_max float64	race_agg_当地勝率_image_mean float64	race_agg_当地勝率_image_min float64	race_agg_当地勝率_image_std float64	race_count_級別_image_A1 float64	race_count_級別_image_A2 float64	race_count_級別_image_B1 float64	race_count_級別_image_B2 float64	年齢_image int64	体重_image float64	全国勝率_image float64	全国2連率_image float64	当地勝率_image float64	当地2連率_image float64	ST平均_image float64	平均S順_image float64	イン1着率_image float64	モーター2連率_image float64	ボート2連率_image float64	oppo_ST平均_image_max_oppo float64	oppo_ST平均_image_mean_oppo float64	oppo_ST平均_image_min_oppo float64	oppo_ST平均_image_std_oppo float64	oppo_count_級別_image_A1_oppo float64	oppo_count_級別_image_A2_oppo float64	oppo_count_級別_image_B1_oppo float64	oppo_count_級別_image_B2_oppo float64	oppo_イン1着率_image_max_oppo float64	oppo_イン1着率_image_mean_oppo float64	oppo_イン1着率_image_min_oppo float64	oppo_イン1着率_image_std_oppo float64	oppo_ボート2連率_image_max_oppo float64	oppo_ボート2連率_image_mean_oppo float64	oppo_ボート2連率_image_min_oppo float64	oppo_ボート2連率_image_std_oppo float64	oppo_モーター2連率_image_max_oppo float64	oppo_モーター2連率_image_mean_oppo float64	oppo_モーター2連率_image_min_oppo float64	oppo_モーター2連率_image_std_oppo float64	oppo_体重_image_max_oppo float64	oppo_体重_image_mean_oppo float64	oppo_体重_image_min_oppo float64	oppo_体重_image_std_oppo float64	oppo_全国2連率_image_max_oppo float64	oppo_全国2連率_image_mean_oppo float64	oppo_全国2連率_image_min_oppo float64	oppo_全国2連率_image_std_oppo float64	oppo_全国勝率_image_max_oppo float64	oppo_全国勝率_image_mean_oppo float64	oppo_全国勝率_image_min_oppo float64	oppo_全国勝率_image_std_oppo float64	oppo_平均S順_image_max_oppo float64	oppo_平均S順_image_mean_oppo float64	oppo_平均S順_image_min_oppo float64	oppo_平均S順_image_std_oppo float64	oppo_年齢_image_max_oppo float64	oppo_年齢_image_mean_oppo float64	oppo_年齢_image_min_oppo float64	oppo_年齢_image_std_oppo float64	oppo_当地2連率_image_max_oppo float64	oppo_当地2連率_image_mean_oppo float64	oppo_当地2連率_image_min_oppo float64	oppo_当地2連率_image_std_oppo float64	oppo_当地勝率_image_max_oppo float64	oppo_当地勝率_image_mean_oppo float64	oppo_当地勝率_image_min_oppo float64	oppo_当地勝率_image_std_oppo float64	race_agg_ST平均_image_max_oppo float64	race_agg_ST平均_image_mean_oppo float64	race_agg_ST平均_image_min_oppo float64	race_agg_ST平均_image_std_oppo float64	race_agg_イン1着率_image_max_oppo float64	race_agg_イン1着率_image_mean_oppo float64	race_agg_イン1着率_image_min_oppo float64	race_agg_イン1着率_image_std_oppo float64	race_agg_ボート2連率_image_max_oppo float64	race_agg_ボート2連率_image_mean_oppo float64	race_agg_ボート2連率_image_min_oppo float64	race_agg_ボート2連率_image_std_oppo float64	race_agg_モーター2連率_image_max_oppo float64	race_agg_モーター2連率_image_mean_oppo float64	race_agg_モーター2連率_image_min_oppo float64	race_agg_モーター2連率_image_std_oppo float64	race_agg_体重_image_max_oppo float64	race_agg_体重_image_mean_oppo float64	race_agg_体重_image_min_oppo float64	race_agg_体重_image_std_oppo float64	race_agg_全国2連率_image_max_oppo float64	race_agg_全国2連率_image_mean_oppo float64	race_agg_全国2連率_image_min_oppo float64	race_agg_全国2連率_image_std_oppo float64	race_agg_全国勝率_image_max_oppo float64	race_agg_全国勝率_image_mean_oppo float64	race_agg_全国勝率_image_min_oppo float64	race_agg_全国勝率_image_std_oppo float64	race_agg_平均S順_image_max_oppo float64	race_agg_平均S順_image_mean_oppo float64	race_agg_平均S順_image_min_oppo float64	race_agg_平均S順_image_std_oppo float64	race_agg_年齢_image_max_oppo float64	race_agg_年齢_image_mean_oppo float64	race_agg_年齢_image_min_oppo float64	race_agg_年齢_image_std_oppo float64	race_agg_当地2連率_image_max_oppo float64	race_agg_当地2連率_image_mean_oppo float64	race_agg_当地2連率_image_min_oppo float64	race_agg_当地2連率_image_std_oppo float64	race_agg_当地勝率_image_max_oppo float64	race_agg_当地勝率_image_mean_oppo float64	race_agg_当地勝率_image_min_oppo float64	race_agg_当地勝率_image_std_oppo float64	race_count_級別_image_A1_oppo float64	race_count_級別_image_A2_oppo float64	race_count_級別_image_B1_oppo float64	race_count_級別_image_B2_oppo float64	年齢_image_player int64	体重_image_player float64	全国勝率_image_player float64	全国2連率_image_player float64	当地勝率_image_player float64	当地2連率_image_player float64	ST平均_image_player float64	平均S順_image_player float64	イン1着率_image_player float64	モーター2連率_image_player float64	ボート2連率_image_player float64	golden_st_advantage float32	sample_weight float64	label int32
1	0.18	0.154	0.13	0.020736	1	1	2	1	75	53.275717	30.769231	18.715918	37.1	29.82	23.9	5.098725	43.7	33.96	25	7.978283	54.3	52.44	51.5	1.186592	45.820896	32.868372	16.494845	11.517428	24.626866	16.208827	6.185567	7.574592	3.8	3.04	2.1	0.680441	46	38.2	27	6.978539	57.142857	35.761905	15	15.331189	28.571429	16.380952	10	7.943965	0.18	0.15	0.13	0.020976	76.923077	57.216944	30.769231	19.324287	43.5	32.1	23.9	7.21027	43.7	33.433333	25	7.251666	55.2	52.9	51.5	1.547902	50.914205	35.876011	16.494845	12.664765	30.520394	18.594088	6.185567	8.946305	3.8	2.983333	2.1	0.624233	46	38.5	27	6.284903	57.142857	35.15873	15	13.791998	28.571429	17.222222	10	7.398086	2	1	2	1	40	55.2	30.520394	50.914205	21.428571	32.142857	0.13	2.7	76.923077	30.8	43.5	0.18	0.154	0.13	0.020736	1	1	2	1	75	53.275717	30.769231	18.715918	37.1	29.82	23.9	5.098725	43.7	33.96	25	7.978283	54.3	52.44	51.5	1.186592	45.820896	32.868372	16.494845	11.517428	24.626866	16.208827	6.185567	7.574592	3.8	3.04	2.1	0.680441	46	38.2	27	6.978539	57.142857	35.761905	15	15.331189	28.571429	16.380952	10	7.943965	0.18	0.15	0.13	0.020976	76.923077	57.216944	30.769231	19.324287	43.5	32.1	23.9	7.21027	43.7	33.433333	25	7.251666	55.2	52.9	51.5	1.547902	50.914205	35.876011	16.494845	12.664765	30.520394	18.594088	6.185567	8.946305	3.8	2.983333	2.1	0.624233	46	38.5	27	6.284903	57.142857	35.15873	15	13.791998	28.571429	17.222222	10	7.398086	2	1	2	1	40	55.2	30.520394	50.914205	21.428571	32.142857	0.13	2.7	76.923077	30.8	43.5	0	0.057126	1
5	0.18	0.14	0.11	0.029155	1	1	2	1	76.923077	57.215121	36.363636	17.7493	43.5	36.62	30.9	4.857674	37.8	29.16	25	5.380335	55.7	53.88	52.4	1.472073	50.914205	28.909739	4.307692	18.587965	30.520394	15.621803	1.538462	11.976541	3.7	2.88	2.2	0.609918	40	32	24	6.204837	50	31.29397	6.818182	15.965676	35.714286	17.25327	2.272727	12.682877	0.18	0.145	0.11	0.02881	76.923077	48.681188	14.545455	24.503435	43.5	36.55	30.9	4.348218	37.8	30.5	25	5.825118	55.7	54.116667	52.4	1.438634	50.914205	27.334692	4.307692	17.067354	30.520394	13.82898	1.538462	11.577362	3.7	2.966667	2.2	0.585377	52	35.333333	24	9.872521	50	29.108612	6.818182	15.250475	35.714286	15.892876	2.272727	11.823211	1	1	3	1	52	55.3	4.864865	19.459459	9.090909	18.181818	0.17	3.4	14.545455	37.2	36.2	0.18	0.14	0.11	0.029155	1	1	2	1	76.923077	57.215121	36.363636	17.7493	43.5	36.62	30.9	4.857674	37.8	29.16	25	5.380335	55.7	53.88	52.4	1.472073	50.914205	28.909739	4.307692	18.587965	30.520394	15.621803	1.538462	11.976541	3.7	2.88	2.2	0.609918	40	32	24	6.204837	50	31.29397	6.818182	15.965676	35.714286	17.25327	2.272727	12.682877	0.18	0.145	0.11	0.02881	76.923077	48.681188	14.545455	24.503435	43.5	36.55	30.9	4.348218	37.8	30.5	25	5.825118	55.7	54.116667	52.4	1.438634	50.914205	27.334692	4.307692	17.067354	30.520394	13.82898	1.538462	11.577362	3.7	2.966667	2.2	0.585377	52	35.333333	24	9.872521	50	29.108612	6.818182	15.250475	35.714286	15.892876	2.272727	11.823211	1	1	3	1	52	55.3	4.864865	19.459459	9.090909	18.181818	0.17	3.4	14.545455	37.2	36.2	1	0.010611	1
5	0.15	0.134	0.11	0.015166	4	1	3	1	86.324786	76.513604	59.349593	10.217348	36.4	33.96	29.3	2.710719	36.6	32.9	29	3.224128	53.4	52.28	52	0.626099	56.067588	51.072684	47.27955	3.169128	31.336406	29.210641	25.140713	2.4139	3.3	2.92	2.5	0.363318	51	41.6	31	8.988882	75	53.92316	23.809524	24.008479	50	33.722944	19.047619	13.48358	0.15	0.131667	0.11	0.01472	86.324786	74.829045	59.349593	10.027053	36.4	33.366667	29.3	2.826777	36.6	32.433333	29	3.102042	53.4	52.233333	52	0.571548	56.067588	49.797412	43.421053	4.218128	31.336406	28.399218	24.342105	2.934616	3.3	2.916667	2.5	0.325064	51	41.166667	31	8.109665	75	51.975737	23.809524	21.243059	50	31.629518	19.047619	12.580436	5	1	3	1	39	52	24.342105	43.421053	23.255814	44.186047	0.12	2.9	66.40625	30.1	30.4	0.15	0.134	0.11	0.015166	4	1	3	1	86.324786	76.513604	59.349593	10.217348	36.4	33.96	29.3	2.710719	36.6	32.9	29	3.224128	53.4	52.28	52	0.626099	56.067588	51.072684	47.27955	3.169128	31.336406	29.210641	25.140713	2.4139	3.3	2.92	2.5	0.363318	51	41.6	31	8.988882	75	53.92316	23.809524	24.008479	50	33.722944	19.047619	13.48358	0.15	0.131667	0.11	0.01472	86.324786	74.829045	59.349593	10.027053	36.4	33.366667	29.3	2.826777	36.6	32.433333	29	3.102042	53.4	52.233333	52	0.571548	56.067588	49.797412	43.421053	4.218128	31.336406	28.399218	24.342105	2.934616	3.3	2.916667	2.5	0.325064	51	41.166667	31	8.109665	75	51.975737	23.809524	21.243059	50	31.629518	19.047619	12.580436	5	1	3	1	39	52	24.342105	43.421053	23.255814	44.186047	0.12	2.9	66.40625	30.1	30.4	1	0.009763	1
4	0.18	0.164	0.14	0.018166	1	3	1	1	65	50.511247	29.6875	13.721046	51.7	36.34	28.4	8.964541	33.8	31.82	30.3	1.502332	54	52.56	52	0.876356	52.076677	37.341745	24.008811	11.097645	30.511182	19.099207	8.14978	8.487588	4.1	3.52	2.7	0.672309	56	45.8	39	6.572671	71.428571	43.642236	22.857143	20.002512	42.857143	25.719255	2.857143	15.53769	0.18	0.16	0.14	0.018974	65	52.684606	29.6875	13.377392	51.7	36.216667	28.4	8.023819	33.8	31.483333	29.8	1.5766	54	52.483333	52	0.806019	52.076677	37.912353	24.008811	10.023958	30.511182	19.132867	8.14978	7.591977	4.1	3.416667	2.7	0.652431	56	43	29	9.033272	71.428571	41.631688	22.857143	18.556245	42.857143	24.941484	2.857143	14.02731	2	3	1	1	29	52.1	19.301165	40.765391	21.052632	31.578947	0.14	2.9	63.551402	29.8	35.6	0.18	0.164	0.14	0.018166	1	3	1	1	65	50.511247	29.6875	13.721046	51.7	36.34	28.4	8.964541	33.8	31.82	30.3	1.502332	54	52.56	52	0.876356	52.076677	37.341745	24.008811	11.097645	30.511182	19.099207	8.14978	8.487588	4.1	3.52	2.7	0.672309	56	45.8	39	6.572671	71.428571	43.642236	22.857143	20.002512	42.857143	25.719255	2.857143	15.53769	0.18	0.16	0.14	0.018974	65	52.684606	29.6875	13.377392	51.7	36.216667	28.4	8.023819	33.8	31.483333	29.8	1.5766	54	52.483333	52	0.806019	52.076677	37.912353	24.008811	10.023958	30.511182	19.132867	8.14978	7.591977	4.1	3.416667	2.7	0.652431	56	43	29	9.033272	71.428571	41.631688	22.857143	18.556245	42.857143	24.941484	2.857143	14.02731	2	3	1	1	29	52.1	19.301165	40.765391	21.052632	31.578947	0.14	2.9	63.551402	29.8	35.6	0	0.008403	1
1	0.17	0.148	0.13	0.014832	2	1	3	1	76.229508	51.603055	29.166667	20.913766	37.7	32.82	22.5	6.228724	48.8	36.84	31.5	6.97517	57.7	54.92	52.9	2.29826	54.43787	35.481542	22.689076	14.719317	32.741617	17.27906	6.722689	11.374307	3.6	3.16	2.5	0.45607	47	40.6	34	5.85662	66.666667	39.149425	16.666667	18.903346	44.444444	19.762452	6.666667	15.612178	0.17	0.15	0.13	0.014142	76.229508	50.554629	29.166667	18.881305	37.7	32.516667	22.5	5.620469	48.8	35.883333	31.1	6.664358	57.7	54.35	51.5	2.484955	54.43787	34.809557	22.689076	13.267856	32.741617	16.897169	6.722689	10.216405	3.6	3.15	2.5	0.408656	47	41.5	34	5.683309	66.666667	38.94636	16.666667	16.914982	44.444444	18.767561	6.666667	14.175011	2	2	4	1	46	51.5	14.987715	31.449631	13.793103	37.931034	0.16	3.1	45.3125	31.1	31	0.17	0.148	0.13	0.014832	2	1	3	1	76.229508	51.603055	29.166667	20.913766	37.7	32.82	22.5	6.228724	48.8	36.84	31.5	6.97517	57.7	54.92	52.9	2.29826	54.43787	35.481542	22.689076	14.719317	32.741617	17.27906	6.722689	11.374307	3.6	3.16	2.5	0.45607	47	40.6	34	5.85662	66.666667	39.149425	16.666667	18.903346	44.444444	19.762452	6.666667	15.612178	0.17	0.15	0.13	0.014142	76.229508	50.554629	29.166667	18.881305	37.7	32.516667	22.5	5.620469	48.8	35.883333	31.1	6.664358	57.7	54.35	51.5	2.484955	54.43787	34.809557	22.689076	13.267856	32.741617	16.897169	6.722689	10.216405	3.6	3.15	2.5	0.408656	47	41.5	34	5.683309	66.666667	38.94636	16.666667	16.914982	44.444444	18.767561	6.666667	14.175011	2	2	4	1	46	51.5	14.987715	31.449631	13.793103	37.931034	0.16	3.1	45.3125	31.1	31	1	0.003683	0
1	0.19	0.166	0.13	0.023022	1	0	4	1	59.722222	37.990003	25.316456	15.279403	39.3	34.58	28.1	4.795519	39.5	35.32	31.8	3.575891	57.1	50.9	43	5.656412	31.160896	23.962602	12.92517	6.774687	14.052953	8.753965	3.401361	3.81668	3.8	3.3	2.6	0.489898	59	40.6	25	12.136721	34.615385	22.26084	0	13.644501	10.465116	4.583866	0	4.645074	0.19	0.158333	0.12	0.027869	78.378378	46.067678	25.316456	22.390607	39.3	33.916667	28.1	4.586684	39.5	31.516667	12.5	9.849958	57.1	51.1	43	5.082913	43.923611	27.289437	12.92517	10.155003	25.694444	11.577378	3.401361	7.712562	3.8	3.133333	2.3	0.598888	59	39.833333	25	11.016654	42.5	25.634033	0	14.737996	25	7.986555	0	9.312955	2	1	4	1	36	52.1	25.694444	43.923611	25	42.5	0.12	2.3	78.378378	12.5	30.6	0.19	0.166	0.13	0.023022	1	0	4	1	59.722222	37.990003	25.316456	15.279403	39.3	34.58	28.1	4.795519	39.5	35.32	31.8	3.575891	57.1	50.9	43	5.656412	31.160896	23.962602	12.92517	6.774687	14.052953	8.753965	3.401361	3.81668	3.8	3.3	2.6	0.489898	59	40.6	25	12.136721	34.615385	22.26084	0	13.644501	10.465116	4.583866	0	4.645074	0.19	0.158333	0.12	0.027869	78.378378	46.067678	25.316456	22.390607	39.3	33.916667	28.1	4.586684	39.5	31.516667	12.5	9.849958	57.1	51.1	43	5.082913	43.923611	27.289437	12.92517	10.155003	25.694444	11.577378	3.401361	7.712562	3.8	3.133333	2.3	0.598888	59	39.833333	25	11.016654	42.5	25.634033	0	14.737996	25	7.986555	0	9.312955	2	1	4	1	36	52.1	25.694444	43.923611	25	42.5	0.12	2.3	78.378378	12.5	30.6	1	0.010611	1
3	0.24	0.188	0.16	0.032711	1	2	2	1	71.304348	54.287592	21.052632	23.444485	32.5	30.82	27.6	2.181055	41.8	36.04	30.9	4.26122	49.2	47.68	46	1.3755	47.058824	33.161345	9.677419	16.654425	28.125	17.240971	3.225806	10.01252	4.8	3.78	2.9	0.70852	52	41	23	11.202678	46.153846	26.752277	0	21.539544	34.615385	12.847925	0	15.141708	0.24	0.185	0.16	0.030166	71.304348	53.705303	21.052632	20.345225	35.4	31.583333	27.6	2.70216	43.1	37.216667	30.9	4.778459	49.2	47.4	46	1.408545	47.058824	34.655002	9.677419	15.338903	28.125	18.505604	3.225806	9.476087	4.8	3.766667	2.9	0.63456	52	41.666667	23	10.152175	46.153846	29.677684	0	19.767498	34.615385	16.485237	0	15.430608	1	3	2	1	45	46	24.828767	42.123288	31.034483	41.37931	0.17	3.7	51.376147	43.1	35.4	0.24	0.188	0.16	0.032711	1	2	2	1	71.304348	54.287592	21.052632	23.444485	32.5	30.82	27.6	2.181055	41.8	36.04	30.9	4.26122	49.2	47.68	46	1.3755	47.058824	33.161345	9.677419	16.654425	28.125	17.240971	3.225806	10.01252	4.8	3.78	2.9	0.70852	52	41	23	11.202678	46.153846	26.752277	0	21.539544	34.615385	12.847925	0	15.141708	0.24	0.185	0.16	0.030166	71.304348	53.705303	21.052632	20.345225	35.4	31.583333	27.6	2.70216	43.1	37.216667	30.9	4.778459	49.2	47.4	46	1.408545	47.058824	34.655002	9.677419	15.338903	28.125	18.505604	3.225806	9.476087	4.8	3.766667	2.9	0.63456	52	41.666667	23	10.152175	46.153846	29.677684	0	19.767498	34.615385	16.485237	0	15.430608	1	3	2	1	45	46	24.828767	42.123288	31.034483	41.37931	0.17	3.7	51.376147	43.1	35.4	1	0.004848	1
5	0.19	0.166	0.15	0.015166	2	1	3	1	79.787234	57.586848	34.375	17.402273	44.2	33.42	22.7	8.368214	44.4	38.38	34.3	5.100686	54.7	53.6	52.5	1.058301	50.474383	35.064999	18.244804	13.569991	26.565465	17.575514	6.235566	8.303531	4	3.5	3.2	0.331662	51	41.2	27	10.425929	57.894737	34.437211	13.793103	19.382314	22.123894	13.5319	3.448276	7.771425	0.19	0.16	0.13	0.02	79.787234	55.812169	34.375	16.160699	44.2	34.766667	22.7	8.179405	44.6	39.416667	34.3	5.221271	54.7	53.633333	52.5	0.950088	50.474383	33.54336	18.244804	12.696773	26.565465	16.682837	6.235566	7.742102	4	3.366667	2.7	0.44121	51	40.166667	27	9.662643	57.894737	34.216436	13.793103	16.792835	23.333333	15.492187	3.448276	8.031806	2	2	4	1	35	53.8	12.219451	25.935162	23.333333	33.333333	0.13	2.7	46.938776	44.6	41.5	0.19	0.166	0.15	0.015166	2	1	3	1	79.787234	57.586848	34.375	17.402273	44.2	33.42	22.7	8.368214	44.4	38.38	34.3	5.100686	54.7	53.6	52.5	1.058301	50.474383	35.064999	18.244804	13.569991	26.565465	17.575514	6.235566	8.303531	4	3.5	3.2	0.331662	51	41.2	27	10.425929	57.894737	34.437211	13.793103	19.382314	22.123894	13.5319	3.448276	7.771425	0.19	0.16	0.13	0.02	79.787234	55.812169	34.375	16.160699	44.2	34.766667	22.7	8.179405	44.6	39.416667	34.3	5.221271	54.7	53.633333	52.5	0.950088	50.474383	33.54336	18.244804	12.696773	26.565465	16.682837	6.235566	7.742102	4	3.366667	2.7	0.44121	51	40.166667	27	9.662643	57.894737	34.216436	13.793103	16.792835	23.333333	15.492187	3.448276	8.031806	2	2	4	1	35	53.8	12.219451	25.935162	23.333333	33.333333	0.13	2.7	46.938776	44.6	41.5	1	0.031878	0
6	0.17	0.156	0.14	0.011402	1	2	3	1	79.62963	53.39612	40.322581	15.653793	44.7	29.84	0	17.388876	41.1	26.04	0	15.581014	53.1	51.92	51	0.779102	58.230453	36.908641	23.971377	14.344364	34.979424	18.485596	10.19678	10.264475	3.7	3.3	2.9	0.291548	50	40.8	25	9.833616	57.894737	37.521042	26.829268	12.112677	26.315789	16.78524	7.317073	6.756888	0.17	0.158333	0.14	0.01169	79.62963	50.293868	34.782609	15.930373	44.7	24.866667	0	19.756079	41.1	25.533333	0	13.991235	59.6	53.2	51	3.211853	58.230453	33.787504	18.181818	14.935113	34.979424	16.771995	8.203991	10.094857	3.7	3.333333	2.9	0.273252	50	42.333333	25	9.563821	57.894737	35.235789	23.809524	12.194583	26.315789	16.368652	7.317073	6.129087	2	2	4	1	50	59.6	8.203991	18.181818	14.285714	23.809524	0.17	3.5	34.782609	23	0	0.17	0.156	0.14	0.011402	1	2	3	1	79.62963	53.39612	40.322581	15.653793	44.7	29.84	0	17.388876	41.1	26.04	0	15.581014	53.1	51.92	51	0.779102	58.230453	36.908641	23.971377	14.344364	34.979424	18.485596	10.19678	10.264475	3.7	3.3	2.9	0.291548	50	40.8	25	9.833616	57.894737	37.521042	26.829268	12.112677	26.315789	16.78524	7.317073	6.756888	0.17	0.158333	0.14	0.01169	79.62963	50.293868	34.782609	15.930373	44.7	24.866667	0	19.756079	41.1	25.533333	0	13.991235	59.6	53.2	51	3.211853	58.230453	33.787504	18.181818	14.935113	34.979424	16.771995	8.203991	10.094857	3.7	3.333333	2.9	0.273252	50	42.333333	25	9.563821	57.894737	35.235789	23.809524	12.194583	26.315789	16.368652	7.317073	6.129087	2	2	4	1	50	59.6	8.203991	18.181818	14.285714	23.809524	0.17	3.5	34.782609	23	0	1	0.003622	0
6	0.18	0.164	0.15	0.011402	2	1	3	1	73.863636	58.540648	45.3125	12.93142	39.3	36.74	34.1	2.12791	41.2	36.26	31.5	4.801354	53.8	51.96	50.5	1.19708	47.619048	31.752889	21.380846	10.452299	24.255952	16.418673	10.022272	5.615694	4.1	3.5	3.3	0.339116	55	37.2	22	12.597619	43.75	30.985988	18.181818	9.469129	22.916667	17.204411	12.121212	4.459199	0.18	0.165	0.15	0.010488	73.863636	54.339429	33.333333	15.481562	39.3	35.883333	31.6	2.832961	41.2	34.85	27.8	5.510989	53.8	51.8	50.5	1.140175	47.619048	31.851075	21.380846	9.351913	24.255952	15.912711	10.022272	5.173471	4.1	3.533333	3.3	0.314113	58	40.666667	22	14.109099	43.75	29.15499	18.181818	9.583676	22.916667	16.003676	10	4.955619	2	2	4	1	58	51	13.3829	32.342007	10	20	0.17	3.7	33.333333	27.8	31.6	0.18	0.164	0.15	0.011402	2	1	3	1	73.863636	58.540648	45.3125	12.93142	39.3	36.74	34.1	2.12791	41.2	36.26	31.5	4.801354	53.8	51.96	50.5	1.19708	47.619048	31.752889	21.380846	10.452299	24.255952	16.418673	10.022272	5.615694	4.1	3.5	3.3	0.339116	55	37.2	22	12.597619	43.75	30.985988	18.181818	9.469129	22.916667	17.204411	12.121212	4.459199	0.18	0.165	0.15	0.010488	73.863636	54.339429	33.333333	15.481562	39.3	35.883333	31.6	2.832961	41.2	34.85	27.8	5.510989	53.8	51.8	50.5	1.140175	47.619048	31.851075	21.380846	9.351913	24.255952	15.912711	10.022272	5.173471	4.1	3.533333	3.3	0.314113	58	40.666667	22	14.109099	43.75	29.15499	18.181818	9.583676	22.916667	16.003676	10	4.955619	2	2	4	1	58	51	13.3829	32.342007	10	20	0.17	3.7	33.333333	27.8	31.6	0	0.04958	0
5	0.17	0.162	0.16	0.004472	1	3	2	1	70.535714	48.841737	10	23.939998	39.2	31.68	22.7	6.269529	70	42.88	31.4	15.885119	53.3	52.2	50.5	1.16619	45.080501	30.943928	12.171838	13.906314	28.801431	16.400449	2.863962	10.253283	3.7	3.34	3.1	0.230217	55	38.2	27	10.377861	39.43662	32.135804	16.666667	9.271935	27.272727	10.622103	0	11.475011	0.17	0.161667	0.16	0.004082	70.535714	44.570495	10	23.831908	39.2	32.9	22.7	6.354211	70	43.2	31.4	14.229687	59.2	53.366667	50.5	3.042148	45.080501	29.019184	12.171838	13.30174	28.801431	14.590634	2.863962	10.18609	3.7	3.316667	3.1	0.213698	55	39.5	27	9.813256	39.43662	31.541741	16.666667	8.419767	27.272727	9.327943	0	10.741965	2	3	3	1	46	59.2	5.541562	19.395466	2.857143	28.571429	0.16	3.2	23.214286	44.8	39	0.17	0.162	0.16	0.004472	1	3	2	1	70.535714	48.841737	10	23.939998	39.2	31.68	22.7	6.269529	70	42.88	31.4	15.885119	53.3	52.2	50.5	1.16619	45.080501	30.943928	12.171838	13.906314	28.801431	16.400449	2.863962	10.253283	3.7	3.34	3.1	0.230217	55	38.2	27	10.377861	39.43662	32.135804	16.666667	9.271935	27.272727	10.622103	0	11.475011	0.17	0.161667	0.16	0.004082	70.535714	44.570495	10	23.831908	39.2	32.9	22.7	6.354211	70	43.2	31.4	14.229687	59.2	53.366667	50.5	3.042148	45.080501	29.019184	12.171838	13.30174	28.801431	14.590634	2.863962	10.18609	3.7	3.316667	3.1	0.213698	55	39.5	27	9.813256	39.43662	31.541741	16.666667	8.419767	27.272727	9.327943	0	10.741965	2	3	3	1	46	59.2	5.541562	19.395466	2.857143	28.571429	0.16	3.2	23.214286	44.8	39	0	0.04958	0
4	0.21	0.162	0.12	0.032711	2	1	1	1	71.568627	51.887782	30.555556	19.371803	40.8	29.22	0	17.226781	40.9	28.12	0	17.02739	54.1	52.46	51	1.289574	53.118712	34.448401	12.849162	15.506979	26.358149	16.390056	5.027933	9.631665	4.5	3.42	2.8	0.653452	50	40.4	29	7.700649	51.851852	36.298597	15.873016	14.916548	29.62963	16.039936	3.174603	11.824876	0.21	0.16	0.12	0.029665	71.568627	49.906485	30.555556	17.993516	40.8	31.016667	0	16.024284	41.9	30.416667	0	16.235568	54.1	52.4	51	1.162755	53.118712	32.905719	12.849162	14.375407	26.358149	15.389149	5.027933	8.9569	4.5	3.4	2.8	0.586515	52	42.333333	29	8.358628	51.851852	36.082164	15.873016	13.352295	29.62963	14.199946	3.174603	11.496761	2	1	2	1	52	52.1	10.384615	25.192308	5	35	0.15	3.3	40	41.9	40	0.21	0.162	0.12	0.032711	2	1	1	1	71.568627	51.887782	30.555556	19.371803	40.8	29.22	0	17.226781	40.9	28.12	0	17.02739	54.1	52.46	51	1.289574	53.118712	34.448401	12.849162	15.506979	26.358149	16.390056	5.027933	9.631665	4.5	3.42	2.8	0.653452	50	40.4	29	7.700649	51.851852	36.298597	15.873016	14.916548	29.62963	16.039936	3.174603	11.824876	0.21	0.16	0.12	0.029665	71.568627	49.906485	30.555556	17.993516	40.8	31.016667	0	16.024284	41.9	30.416667	0	16.235568	54.1	52.4	51	1.162755	53.118712	32.905719	12.849162	14.375407	26.358149	15.389149	5.027933	8.9569	4.5	3.4	2.8	0.586515	52	42.333333	29	8.358628	51.851852	36.082164	15.873016	13.352295	29.62963	14.199946	3.174603	11.496761	2	1	2	1	52	52.1	10.384615	25.192308	5	35	0.15	3.3	40	41.9	40	0	0.007667	0
6	0.18	0.164	0.14	0.015166	1	2	2	1	69.105691	59.134761	46.031746	11.216754	50	35.08	21.4	11.859469	53	33.7	13.5	14.113114	55.8	51.94	46	3.675323	45.221843	37.504207	22.94686	8.498098	26.791809	19.866688	11.594203	5.558008	3.5	3.18	2.7	0.311448	56	42	26	11.247222	65	41.145378	14.285714	19.166306	30	18.622409	8	9.612593	0.18	0.166667	0.14	0.015055	69.105691	54.257322	29.87013	15.600926	50	34.516667	21.4	10.696806	53	34.05	13.5	12.652233	55.8	51.95	46	3.2874	45.221843	35.349816	22.94686	9.253245	26.791809	17.900164	8.067542	6.922172	4.2	3.35	2.7	0.500999	59	44.833333	26	12.221566	65	36.560542	13.636364	20.493953	30	15.518674	0	11.476959	1	2	3	1	59	52	8.067542	24.577861	0	13.636364	0.18	4.2	29.87013	35.8	31.7	0.18	0.164	0.14	0.015166	1	2	2	1	69.105691	59.134761	46.031746	11.216754	50	35.08	21.4	11.859469	53	33.7	13.5	14.113114	55.8	51.94	46	3.675323	45.221843	37.504207	22.94686	8.498098	26.791809	19.866688	11.594203	5.558008	3.5	3.18	2.7	0.311448	56	42	26	11.247222	65	41.145378	14.285714	19.166306	30	18.622409	8	9.612593	0.18	0.166667	0.14	0.015055	69.105691	54.257322	29.87013	15.600926	50	34.516667	21.4	10.696806	53	34.05	13.5	12.652233	55.8	51.95	46	3.2874	45.221843	35.349816	22.94686	9.253245	26.791809	17.900164	8.067542	6.922172	4.2	3.35	2.7	0.500999	59	44.833333	26	12.221566	65	36.560542	13.636364	20.493953	30	15.518674	0	11.476959	1	2	3	1	59	52	8.067542	24.577861	0	13.636364	0.18	4.2	29.87013	35.8	31.7	0	0.006021	1
4	0.21	0.1775	0.16	0.023629	1	2	2	1	64.957265	52.569898	33.898305	14.630818	40.8	34.06	30.8	4.118616	37.5	31.96	24.1	5.845768	55.5	51.84	47	3.23311	45.238095	36.469944	26.824034	8.499445	25.274725	17.686261	10.244989	6.575177	4.4	3.8	3.4	0.489898	58	44.4	36	9.316652	83.333333	42.185631	21.875	24.638283	38.888889	22.062912	9.375	11.506817	0.21	0.178	0.16	0.020494	64.957265	53.049172	33.898305	13.138755	40.8	33.066667	28.1	4.414824	39.5	33.216667	24.1	6.067427	55.5	52.116667	47	2.970129	45.238095	36.003292	26.824034	7.68759	25.274725	17.235745	10.244989	5.983657	4.4	3.8	3.4	0.424264	58	43.166667	36	8.863784	83.333333	41.617277	21.875	22.081081	38.888889	22.807529	9.375	10.452377	1	2	3	1	37	53.5	14.983165	33.670034	26.530612	38.77551	0.18	3.8	55.445545	39.5	28.1	0.21	0.1775	0.16	0.023629	1	2	2	1	64.957265	52.569898	33.898305	14.630818	40.8	34.06	30.8	4.118616	37.5	31.96	24.1	5.845768	55.5	51.84	47	3.23311	45.238095	36.469944	26.824034	8.499445	25.274725	17.686261	10.244989	6.575177	4.4	3.8	3.4	0.489898	58	44.4	36	9.316652	83.333333	42.185631	21.875	24.638283	38.888889	22.062912	9.375	11.506817	0.21	0.178	0.16	0.020494	64.957265	53.049172	33.898305	13.138755	40.8	33.066667	28.1	4.414824	39.5	33.216667	24.1	6.067427	55.5	52.116667	47	2.970129	45.238095	36.003292	26.824034	7.68759	25.274725	17.235745	10.244989	5.983657	4.4	3.8	3.4	0.424264	58	43.166667	36	8.863784	83.333333	41.617277	21.875	22.081081	38.888889	22.807529	9.375	10.452377	1	2	3	1	37	53.5	14.983165	33.670034	26.530612	38.77551	0.18	3.8	55.445545	39.5	28.1	1	0.030072	0
3	0.19	0.16	0.14	0.018708	1	2	2	1	70.07874	44.676492	23.404255	18.191572	45.4	40.84	34.4	4.065464	40.9	37.68	33	3.105962	53	50.16	46	3.294389	40.296053	28.239721	14.893617	11.499212	22.203947	13.496768	7.727273	6.569437	4.1	3.36	2.8	0.482701	42	33.8	24	8.613942	31.818182	24.60342	14.285714	8.164086	18.181818	9.166637	4.347826	6.427532	0.21	0.168333	0.14	0.026394	70.07874	44.373267	23.404255	16.28798	45.4	40.083333	34.4	4.08138	40.9	36.183333	28.7	4.599746	53.1	50.65	46	3.181666	40.296053	28.62111	14.893617	10.327548	22.203947	13.227505	7.727273	5.912784	4.1	3.466667	2.8	0.504645	42	34.5	24	7.893035	31.818182	24.882736	14.285714	7.097839	18.181818	8.93331	4.347826	5.590804	2	2	3	1	38	53.1	11.881188	30.528053	8	26	0.21	4	42.857143	28.7	36.3	0.19	0.16	0.14	0.018708	1	2	2	1	70.07874	44.676492	23.404255	18.191572	45.4	40.84	34.4	4.065464	40.9	37.68	33	3.105962	53	50.16	46	3.294389	40.296053	28.239721	14.893617	11.499212	22.203947	13.496768	7.727273	6.569437	4.1	3.36	2.8	0.482701	42	33.8	24	8.613942	31.818182	24.60342	14.285714	8.164086	18.181818	9.166637	4.347826	6.427532	0.21	0.168333	0.14	0.026394	70.07874	44.373267	23.404255	16.28798	45.4	40.083333	34.4	4.08138	40.9	36.183333	28.7	4.599746	53.1	50.65	46	3.181666	40.296053	28.62111	14.893617	10.327548	22.203947	13.227505	7.727273	5.912784	4.1	3.466667	2.8	0.504645	42	34.5	24	7.893035	31.818182	24.882736	14.285714	7.097839	18.181818	8.93331	4.347826	5.590804	2	2	3	1	38	53.1	11.881188	30.528053	8	26	0.21	4	42.857143	28.7	36.3	1	0.011534	0
4	0.18	0.17	0.14	0.017321	1	1	3	1	47.826087	34.555529	22.44898	10.875603	40.1	31.84	11.1	11.98741	53	37.46	28.7	9.489626	54.9	51.88	46	3.523776	39.411765	27.760576	19.314642	8.590093	18.235294	11.195126	5.919003	4.752895	3.8	3.48	3	0.396232	44	38.8	33	5.069517	52.941176	32.015668	15.789474	15.104711	20.588235	12.886919	2.777778	7.040781	0.18	0.166667	0.14	0.017512	47.826087	36.548212	22.44898	10.883369	40.7	33.316667	11.1	11.31555	53	39.183333	28.7	9.479539	54.9	51.9	46	3.152142	39.411765	27.814395	19.314642	7.684344	18.235294	11.479809	5.919003	4.307932	3.8	3.383333	2.9	0.426224	44	38.166667	33	4.792355	52.941176	32.235278	15.789474	13.520769	22.222222	14.442803	2.777778	7.360892	2	1	4	1	35	52	12.903226	28.083491	22.222222	33.333333	0.15	2.9	46.511628	47.8	40.7	0.18	0.17	0.14	0.017321	1	1	3	1	47.826087	34.555529	22.44898	10.875603	40.1	31.84	11.1	11.98741	53	37.46	28.7	9.489626	54.9	51.88	46	3.523776	39.411765	27.760576	19.314642	8.590093	18.235294	11.195126	5.919003	4.752895	3.8	3.48	3	0.396232	44	38.8	33	5.069517	52.941176	32.015668	15.789474	15.104711	20.588235	12.886919	2.777778	7.040781	0.18	0.166667	0.14	0.017512	47.826087	36.548212	22.44898	10.883369	40.7	33.316667	11.1	11.31555	53	39.183333	28.7	9.479539	54.9	51.9	46	3.152142	39.411765	27.814395	19.314642	7.684344	18.235294	11.479809	5.919003	4.307932	3.8	3.383333	2.9	0.426224	44	38.166667	33	4.792355	52.941176	32.235278	15.789474	13.520769	22.222222	14.442803	2.777778	7.360892	2	1	4	1	35	52	12.903226	28.083491	22.222222	33.333333	0.15	2.9	46.511628	47.8	40.7	0	0.026984	1
5	0.17	0.156	0.14	0.013416	2	1	2	1	75.862069	59.247209	32.894737	17.208836	36.5	31.28	22.7	5.401574	43.9	34.62	26.3	6.359796	52.4	51.92	51	0.54037	56.039604	39.271083	26.824458	11.844854	34.653465	19.538341	10.25641	9.525379	3.7	3.32	3	0.286356	57	49.2	36	8.927486	56.521739	34.136133	13.333333	16.165089	39.130435	16.13362	0	16.23447	0.17	0.153333	0.14	0.013663	75.862069	56.83536	32.894737	16.486882	36.5	29.4	20	6.674429	43.9	33.016667	25	6.912428	55.9	52.583333	51	1.695189	56.039604	37.951891	26.824458	11.076193	34.653465	19.177431	10.25641	8.565501	3.7	3.216667	2.7	0.360093	57	49.666667	36	8.066391	56.521739	35.653985	13.333333	14.928876	39.130435	18.399639	0	15.545271	2	1	3	1	52	55.9	17.372881	31.355932	29.72973	43.243243	0.14	2.7	44.776119	25	20	0.17	0.156	0.14	0.013416	2	1	2	1	75.862069	59.247209	32.894737	17.208836	36.5	31.28	22.7	5.401574	43.9	34.62	26.3	6.359796	52.4	51.92	51	0.54037	56.039604	39.271083	26.824458	11.844854	34.653465	19.538341	10.25641	9.525379	3.7	3.32	3	0.286356	57	49.2	36	8.927486	56.521739	34.136133	13.333333	16.165089	39.130435	16.13362	0	16.23447	0.17	0.153333	0.14	0.013663	75.862069	56.83536	32.894737	16.486882	36.5	29.4	20	6.674429	43.9	33.016667	25	6.912428	55.9	52.583333	51	1.695189	56.039604	37.951891	26.824458	11.076193	34.653465	19.177431	10.25641	8.565501	3.7	3.216667	2.7	0.360093	57	49.666667	36	8.066391	56.521739	35.653985	13.333333	14.928876	39.130435	18.399639	0	15.545271	2	1	3	1	52	55.9	17.372881	31.355932	29.72973	43.243243	0.14	2.7	44.776119	25	20	0	0.078408	1
2	0.16	0.146	0.14	0.008944	0	1	3	1	60	47.011649	35.185185	10.795856	45.4	33.8	25	8.333967	47.9	31.22	5.5	16.413927	54.6	53.36	52	1.052616	40.816327	25.800896	8.62069	12.477008	17.142857	11.921931	5.172414	5.166887	3.4	2.98	2.5	0.327109	58	43.8	24	12.891858	34.210526	24.046406	0	14.799019	20	10.027165	0	7.463857	0.16	0.146667	0.14	0.008165	81.300813	53.869482	35.185185	17.960018	45.4	33.65	25	7.463176	47.9	30.3	5.5	14.853013	54.6	53.133333	52	1.093008	51.565378	30.094977	8.62069	15.335427	32.228361	15.306336	5.172414	9.491183	3.4	3.033333	2.5	0.320416	58	41.166667	24	13.212368	60	30.038672	0	19.764925	40	15.022637	0	13.939003	1	1	3	1	28	52	32.228361	51.565378	40	60	0.15	3.3	81.300813	25.7	32.9	0.16	0.146	0.14	0.008944	0	1	3	1	60	47.011649	35.185185	10.795856	45.4	33.8	25	8.333967	47.9	31.22	5.5	16.413927	54.6	53.36	52	1.052616	40.816327	25.800896	8.62069	12.477008	17.142857	11.921931	5.172414	5.166887	3.4	2.98	2.5	0.327109	58	43.8	24	12.891858	34.210526	24.046406	0	14.799019	20	10.027165	0	7.463857	0.16	0.146667	0.14	0.008165	81.300813	53.869482	35.185185	17.960018	45.4	33.65	25	7.463176	47.9	30.3	5.5	14.853013	54.6	53.133333	52	1.093008	51.565378	30.094977	8.62069	15.335427	32.228361	15.306336	5.172414	9.491183	3.4	3.033333	2.5	0.320416	58	41.166667	24	13.212368	60	30.038672	0	19.764925	40	15.022637	0	13.939003	1	1	3	1	28	52	32.228361	51.565378	40	60	0.15	3.3	81.300813	25.7	32.9	1	0.011727	1

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Ordis Pure Skill Features (Clean)

Clean version with only numeric features.

Files

train.parquet: 21684 samples
valid.parquet: 28316 samples

Features

217 numeric features (removed object columns)
Binary target: label (1=top-3, 0=other)

Removed columns

級別_image
支部_image
級別_image_player
支部_image_player

All features are now numeric and ready for ML training.

Downloads last month: 6

Number of rows:

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