plt.show()
def show_solution(P, T, path):
best = load_network(path)
Y = best.sim(P)
area = plotroc(Y, T)
print("")
print("Stats for cut = 0.5")
[num_correct_first, num_correct_second, total_performance, num_first, num_second, missed] = stat(Y, T)
plt.title(path + "\nArea = " + str(area))
plt.show()
if __name__ == '__main__':
logging.basicConfig(level=logging.DEBUG)
logger = logging.getLogger('classify')
#P, T = parse_file("/home/gibson/jonask/Dropbox/Ann-Survival-Phd/Two_thirds_of_SA_1889_dataset.txt", targetcols = [5], ignorecols = [0,1,4])
#P, T = parse_file("/home/gibson/jonask/Dropbox/Ann-Survival-Phd/Two_thirds_of_SA_1889_dataset.txt", targetcols = [5], ignorecols = [0,1,3,4])
P, T = loadsyn3(100)
find_solution(P, T)
#show_solution(P, T, "/export/home/jonask/Projects/aNeuralN/ANNs/Normalized breast/classification_gdblock20_79.6664019063.ann")
#show_solution(P, T, "/export/home/jonask/Projects/aNeuralN/ANNs/Normalized breast/classification_gdblock20_78.9515488483.ann")
#show_solution(P, T, "/export/home/jonask/Projects/aNeuralN/ANNs/Normalized breast/classification_genetic_80.2223987292.ann")
#show_solution(P, T, "/export/home/jonask/Projects/aNeuralN/ANNs/Unnormalized breast/classification_genetic_80.4606830818.ann")
#show_solution(P, T, "/export/home/jonask/Projects/aNeuralN/ANNs/Unnormalized breast/classification_gdblock20_79.1104050834.ann")
