static/models/model_results.csv

Model,Train Accuracy,Val Accuracy,Val Precision,Val Recall,Val F1-Score,Val AUC
SVM,0.521311475409836,0.4859335038363171,0.4907749077490775,0.6785714285714286,0.569593147751606,0.5096284667713239
Extra Trees,0.9109289617486339,0.5370843989769821,0.5362318840579711,0.5663265306122449,0.5508684863523573,0.552668759811617
CatBoost,0.8765027322404372,0.5549872122762148,0.5591397849462365,0.5306122448979592,0.5445026178010471,0.5470434327577185
GRU,0.5448087431693989,0.5294117647058824,0.5306122448979592,0.5306122448979592,0.5306122448979592,0.5184720041862899
KNN,1.0,0.5421994884910486,0.5485714285714286,0.4897959183673469,0.5175202156334232,0.5459445316588174
LSTM,0.5497267759562842,0.5140664961636828,0.5153061224489796,0.5153061224489796,0.5153061224489796,0.527498691784406
AdaBoost,0.587431693989071,0.4936061381074169,0.49528301886792453,0.5357142857142857,0.5147058823529411,0.4947278911564625
LightGBM,0.9322404371584699,0.5217391304347826,0.5243243243243243,0.49489795918367346,0.5091863517060368,0.5209314495028782
Gradient Boosting,0.9808743169398907,0.5345268542199488,0.5402298850574713,0.47959183673469385,0.5081081081081081,0.5361329147043433
1D-CNN,0.5617486338797815,0.5294117647058824,0.5337078651685393,0.4846938775510204,0.5080213903743316,0.5179225536368394
Logistic Regression,0.546448087431694,0.47058823529411764,0.4751131221719457,0.5357142857142857,0.5035971223021583,0.4817634746206175
Random Forest,1.0,0.5115089514066496,0.5135135135135135,0.4846938775510204,0.49868766404199477,0.5381998953427525
BiLSTM,0.5502732240437158,0.5140664961636828,0.5172413793103449,0.45918367346938777,0.4864864864864865,0.5289638932496076
Feed-Forward NN,0.5819672131147541,0.5038363171355499,0.5055555555555555,0.4642857142857143,0.48404255319148937,0.5037414965986395
XGBoost,0.6710382513661202,0.4961636828644501,0.4971751412429379,0.4489795918367347,0.4718498659517426,0.5119178440607012