def _d_svm_indices(self):
classifier = LinearSVC()
return MisclassificationIndices.calculate(classifier,
BowDataset(
self._tfidf_matrix(),
self._classes),
n_folds=10)['inds']
def _d_rf_indices(self):
classifier = RandomForestClassifier()
return MisclassificationIndices.calculate(classifier,
BowDataset(
self._tfidf_matrix(),
self._classes),
n_folds=10)['inds']
def _d_cs_indices(self):
classifier = NearestCentroid(metric='cosine')
#classifier=KNeighborsClassifier(n_neighbors=5)
return MisclassificationIndices.calculate(classifier,
BowDataset(
self._tfidf_matrix(),
self._classes),
n_folds=10)['inds']
def _d_svm_indices(self):
classifier = LinearSVC()
return MisclassificationIndices.calculate(classifier,
BowDataset(self._tfidf_matrix(),self._classes),
n_folds=10)['inds']
def _d_rf_indices(self):
classifier = RandomForestClassifier()
return MisclassificationIndices.calculate(classifier,
BowDataset(self._tfidf_matrix(),self._classes),
n_folds=10)['inds']
def _d_cs_indices(self):
classifier=NearestCentroid(metric='cosine')
#classifier=KNeighborsClassifier(n_neighbors=5)
return MisclassificationIndices.calculate(classifier,
BowDataset(self._tfidf_matrix(),self._classes),
n_folds=10)['inds']
