Support Vector Machine

SVM Support Vector Machine
Maximizes distance to nearest point
= margin

if you go to machine learning party, everybody talk machine learning

SVMs – Outliers

SVM in SKlearn
http://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html

import numpy as np
import pylab as pl

features_train, labels_train, features_test, labels_test = makeTerrainData()

from sklearn.svm import SVC
clf = SVC(kernel="linear")
clf.fit( features_train, labels_train )
pred = clf.predict( features_test )

from sklearn.metrics import accuracy_score
acc = accuracy_score(pred, labels_test)

def submitAccuracy():
	return acc