Added model creation script with Naive Bayes (var_smoothing=1e-07) as classifier

machine_learning/model_creation.py

@@ -0,0 +1,28 @@
+import os
+
+import pandas as pd
+from sklearn.naive_bayes import GaussianNB
+from sklearn import preprocessing
+import joblib
+
+TRAIN_DATA_DIR = "datasets_train_raw"
+train_df_list = []
+for file in os.listdir(TRAIN_DATA_DIR):
+    file_path = os.path.join(TRAIN_DATA_DIR, file)
+    df = pd.read_csv(file_path, delim_whitespace=True, skiprows=1,
+                                       names=["tbid", "tphys", "r", "vr", "vt", "ik1", "ik2", "sm1", "sm2", "a", "e",
+                                              "collapsed"])
+    train_df_list.append(df)
+data_train = pd.concat(train_df_list, ignore_index=True).sample(frac=1, random_state=42)
+
+X_train = data_train.iloc[:, 1:-1].values
+y_train = data_train.iloc[:, -1].values
+
+lab = preprocessing.LabelEncoder()
+y_train_transformed = lab.fit_transform(y_train)
+
+clf = GaussianNB(var_smoothing=1e-07)
+clf.fit(X_train, y_train_transformed)
+
+joblib.dump(clf, 'trained_model.pkl')
+joblib.dump(lab, 'label_encoder.pkl')