def mensure(sent):
results = []
acuracias = []
logs = []
nv_roc = Roc()
svm_roc = Roc()
dt_roc = Roc()
rf_roc = Roc()
gd_roc = Roc()
rl_roc = Roc()
cm_roc = Roc()
fpr = []
tpr = []
auc = []
custos = pd.DataFrame()
start = time.time()
nv_acc, nv_ac, nv_p, nv_r, nv_f1, nv_e, nv_cm, nv_roc = sent.CMultinomialNV(
)
end = time.time()
custos['nv'] = [end - start]
print('Naive')
print('ac = %f' % nv_acc)
print('p = %f' % nv_p)
print('r = %f' % nv_r)
print('f1 = %f' % nv_f1)
print('e = %f' % nv_e)
print("time %f" % (end - start))
print('---------------')
sent.plot_confuse_matrix(nv_cm, 'Matriz de Confusao - Naive Bayes',
'matriz-nv')
l = 'nv', nv_acc, nv_p, nv_r, nv_f1, nv_e, str(dt.now())
logs.append(l)
fpr.append(nv_roc.get_fpr())
tpr.append(nv_roc.get_tpr())
auc.append(nv_roc.get_auc())
start = time.time()
sgd_acc, sgd_ac, sgd_p, sgd_r, sgd_f1, sgd_e, sgd_cm, sgd_roc = sent.gradienteDesc(
)
end = time.time()
custos['sgd'] = [end - start]
print('Gradiente')
print('ac = %f' % sgd_acc)
print('p = %f' % sgd_p)
print('r = %f' % sgd_r)
print('f1 = %f' % sgd_f1)
print('e = %f' % sgd_e)
print("time %f" % (end - start))
print('---------------')
sent.plot_confuse_matrix(sgd_cm, 'Matriz de Confusao - SGD', 'matriz-sgd')
l = 'sgd', sgd_acc, sgd_p, sgd_r, sgd_f1, sgd_e, str(dt.now())
logs.append(l)
fpr.append(sgd_roc.get_fpr())
tpr.append(sgd_roc.get_tpr())
auc.append(sgd_roc.get_auc())
results.append(sgd_ac)
results.append(nv_ac)
sent.write_csv(custos, 'Result/tempo-exe')
sent.write_csv(logs, 'Result/metricas')
label = ['sgd', 'naive']
sent.plot_roc_all(fpr, tpr, auc, label)
acuracias = []
nv_ac, _, nv_p, nv_r, nv_f1, nv_e, nv_cm, nv_roc = sent.CMultinomialNV()
print("Naive")
print('ac = %f' % nv_ac)
print('p = %f' % nv_p)
print('r = %f' % nv_r)
print('f1 = %f' % nv_f1)
print('e = %f' % nv_e)
print('---------------')
acuracias.append(nv_ac)
fpr.append(nv_roc.get_fpr())
tpr.append(nv_roc.get_tpr())
auc.append(nv_roc.get_auc())
#sent.plot_confuse_matrix(nv_cm)
svm_ac, _, svm_p, svm_r, svm_f1, svm_e, svm_cm, svm_roc = sent.CSuportVectorMachine(
)
print("SVM")
print('ac = %f' % svm_ac)
print('p = %f' % svm_p)
print('r = %f' % svm_r)
print('f1 = %f' % svm_f1)
print('e = %f' % svm_e)
print('---------------')
acuracias.append(svm_ac)