SVM Focus on Accuracy vs Performance

Importing Modules


In [ ]:
from sklearn import svm

Run Variables Setup If Necessary


In [ ]:
if 'features_train' not in locals() or globals():
    %run ../dev/environment_setup.ipynb

Reduced Variables DataSet (1%)


In [ ]:
features_train_small = features_train[:len(features_train)/100]
labels_train_small = labels_train[:len(labels_train)/100]

Load SVM Classifier with RBF Kernel Parameter


In [ ]:
clf = svm.SVC(kernel='rbf', C=10000.0)

Train and Predict Data with Full DataSet


In [ ]:
train_predict_fulldataset ("Train and Predict Data with Full DataSet")

Train and Predict Data with 1% DataSet


In [ ]:
train_predict ("Train and Predict Data with 1% DataSet")