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| <link rel="modulepreload" href="/docs/autotrain/pr_749/en/_app/immutable/chunks/EditOnGithub.48fa589f.js"><!-- HEAD_svelte-u9bgzb_START --><meta name="hf:doc:metadata" content="{"title":"Tabular Classification / Regression","local":"tabular-classification--regression","sections":[{"title":"Models","local":"models","sections":[],"depth":2},{"title":"Data Format","local":"data-format","sections":[],"depth":2},{"title":"Columns","local":"columns","sections":[],"depth":2}],"depth":1}"><!-- HEAD_svelte-u9bgzb_END --> <p></p> <h1 class="relative group"><a id="tabular-classification--regression" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#tabular-classification--regression"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Tabular Classification / Regression</span></h1> <p data-svelte-h="svelte-twe30r">Using AutoTrain, you can train a model to classify or regress tabular data easily. | |
| All you need to do is select from a list of models and upload your dataset. | |
| Parameter tuning is done automatically.</p> <h2 class="relative group"><a id="models" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#models"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Models</span></h2> <p data-svelte-h="svelte-c7gcn">The following models are available for tabular classification / regression.</p> <ul data-svelte-h="svelte-8xotg5"><li>xgboost</li> <li>random_forest</li> <li>ridge</li> <li>logistic_regression</li> <li>svm</li> <li>extra_trees</li> <li>gradient_boosting</li> <li>adaboost</li> <li>decision_tree</li> <li>knn</li></ul> <h2 class="relative group"><a id="data-format" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#data-format"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Data Format</span></h2> <div class="code-block relative"><div class="absolute top-2.5 right-4"><button class="inline-flex items-center relative text-sm focus:text-green-500 cursor-pointer focus:outline-none transition duration-200 ease-in-out opacity-0 mx-0.5 text-gray-600 " title="code excerpt" type="button"><svg class="" xmlns="http://www.w3.org/2000/svg" aria-hidden="true" fill="currentColor" focusable="false" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 32 32"><path d="M28,10V28H10V10H28m0-2H10a2,2,0,0,0-2,2V28a2,2,0,0,0,2,2H28a2,2,0,0,0,2-2V10a2,2,0,0,0-2-2Z" transform="translate(0)"></path><path d="M4,18H2V4A2,2,0,0,1,4,2H18V4H4Z" transform="translate(0)"></path><rect fill="none" width="32" height="32"></rect></svg> <div class="absolute pointer-events-none transition-opacity bg-black text-white py-1 px-2 leading-tight rounded font-normal shadow left-1/2 top-full transform -translate-x-1/2 translate-y-2 opacity-0"><div class="absolute bottom-full left-1/2 transform -translate-x-1/2 w-0 h-0 border-black border-4 border-t-0" style="border-left-color: transparent; border-right-color: transparent; "></div> Copied</div></button></div> <pre class=""><!-- HTML_TAG_START -->id,category<span class="hljs-number">1</span>,category<span class="hljs-number">2</span>,feature<span class="hljs-number">1</span>,target | |
| <span class="hljs-number">1</span>,A,<span class="hljs-keyword">X</span>,<span class="hljs-number">0</span><span class="hljs-number">.3373961604172684</span>,<span class="hljs-number">1</span> | |
| <span class="hljs-number">2</span>,B,<span class="hljs-keyword">Z</span>,<span class="hljs-number">0</span><span class="hljs-number">.6481718720511972</span>,<span class="hljs-number">0</span> | |
| <span class="hljs-number">3</span>,A,<span class="hljs-keyword">Y</span>,<span class="hljs-number">0</span><span class="hljs-number">.36824153984054797</span>,<span class="hljs-number">1</span> | |
| <span class="hljs-number">4</span>,B,<span class="hljs-keyword">Z</span>,<span class="hljs-number">0</span><span class="hljs-number">.9571551589530464</span>,<span class="hljs-number">1</span> | |
| <span class="hljs-number">5</span>,B,<span class="hljs-keyword">Z</span>,<span class="hljs-number">0</span><span class="hljs-number">.14035078041264515</span>,<span class="hljs-number">1</span> | |
| <span class="hljs-number">6</span>,C,<span class="hljs-keyword">X</span>,<span class="hljs-number">0</span><span class="hljs-number">.8700872583584364</span>,<span class="hljs-number">1</span> | |
| <span class="hljs-number">7</span>,A,<span class="hljs-keyword">Y</span>,<span class="hljs-number">0</span><span class="hljs-number">.4736080452737105</span>,<span class="hljs-number">0</span> | |
| <span class="hljs-number">8</span>,C,<span class="hljs-keyword">Y</span>,<span class="hljs-number">0</span><span class="hljs-number">.8009107519796442</span>,<span class="hljs-number">1</span> | |
| <span class="hljs-number">9</span>,A,<span class="hljs-keyword">Y</span>,<span class="hljs-number">0</span><span class="hljs-number">.5204774795512048</span>,<span class="hljs-number">0</span> | |
| <span class="hljs-number">10</span>,A,<span class="hljs-keyword">Y</span>,<span class="hljs-number">0</span><span class="hljs-number">.6788795301189603</span>,<span class="hljs-number">0</span> | |
| . | |
| . | |
| .<!-- HTML_TAG_END --></pre></div> <h2 class="relative group"><a id="columns" class="header-link block pr-1.5 text-lg no-hover:hidden with-hover:absolute with-hover:p-1.5 with-hover:opacity-0 with-hover:group-hover:opacity-100 with-hover:right-full" href="#columns"><span><svg class="" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" aria-hidden="true" role="img" width="1em" height="1em" preserveAspectRatio="xMidYMid meet" viewBox="0 0 256 256"><path d="M167.594 88.393a8.001 8.001 0 0 1 0 11.314l-67.882 67.882a8 8 0 1 1-11.314-11.315l67.882-67.881a8.003 8.003 0 0 1 11.314 0zm-28.287 84.86l-28.284 28.284a40 40 0 0 1-56.567-56.567l28.284-28.284a8 8 0 0 0-11.315-11.315l-28.284 28.284a56 56 0 0 0 79.196 79.197l28.285-28.285a8 8 0 1 0-11.315-11.314zM212.852 43.14a56.002 56.002 0 0 0-79.196 0l-28.284 28.284a8 8 0 1 0 11.314 11.314l28.284-28.284a40 40 0 0 1 56.568 56.567l-28.285 28.285a8 8 0 0 0 11.315 11.314l28.284-28.284a56.065 56.065 0 0 0 0-79.196z" fill="currentColor"></path></svg></span></a> <span>Columns</span></h2> <p data-svelte-h="svelte-cw7zt4">Your CSV dataset must have two columns: <code>id</code> and <code>target</code>.</p> <a class="!text-gray-400 !no-underline text-sm flex items-center not-prose mt-4" href="https://github.com/huggingface/autotrain-advanced/blob/main/docs/source/tabular.mdx" target="_blank"><span data-svelte-h="svelte-1kd6by1"><</span> <span data-svelte-h="svelte-x0xyl0">></span> <span data-svelte-h="svelte-1dajgef"><span class="underline ml-1.5">Update</span> on GitHub</span></a> <p></p> | |
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