Tabular Classification / Regression

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.

Models

The following models are available for tabular classification / regression.

• xgboost
• random_forest
• ridge
• logistic_regression
• svm
• extra_trees
• gradient_boosting
• adaboost
• decision_tree
• knn

Data Format

id,category1,category2,feature1,target
1,A,X,0.3373961604172684,1
2,B,Z,0.6481718720511972,0
3,A,Y,0.36824153984054797,1
4,B,Z,0.9571551589530464,1
5,B,Z,0.14035078041264515,1
6,C,X,0.8700872583584364,1
7,A,Y,0.4736080452737105,0
8,C,Y,0.8009107519796442,1
9,A,Y,0.5204774795512048,0
10,A,Y,0.6788795301189603,0
.
.
.

Columns

Your CSV dataset must have two columns: id and target.