import copper
import pandas as pd

data = pd.read_csv('iris.csv', header=None)

ds = copper.Dataset(data)

ds.frame

ds.frame = ds.frame.dropna()

ds.metadata

ds.head()

ds.role[4] = ds.TARGET

mc = copper.ModelComparison()

mc.train_test_split(ds, test_size=0.3, random_state=12345)

mc.X_train[:5], mc.y_train[:5]

from sklearn.linear_model import LogisticRegression

from sklearn.svm import SVC

mc['LR'] = LogisticRegression()

mc['SVM'] = SVC(probability=True)

mc.fit()

mc.predict().head()

mc.cm('LR')

mc.cm('SVM')

mc.accuracy_score()

from sklearn.metrics import fbeta_score

mc.metric(fbeta_score, beta=0.1)