Initializing..
Preparing datasets..
Training on city center subset..
Evaluating on city center..
SVR Mean: 78.15534624446741
Best SVR parameters: C=23.124773526176416, epsilon=7.850674800576822, gamma=0.4791259641048504, kernel=rbf

NN Mean: 74.63703951706529
Best NN parameters: hidden_layers=2, neurons=6, activation=tanh

ONE Mean: 74.63294862772607

Training on city center..
Evaluating on residential..
SVR Mean: 127.2231863062769
Best SVR parameters: C=20.118172819555735, epsilon=0.8068030769956458, gamma=0.5381787199421333, kernel=rbf

NN Mean: 125.52759682715548
Best NN parameters: hidden_layers=1, neurons=12, activation=linear

ONE Mean: 125.50793777263414

Evaluating on village..
SVR Mean: 861.4973137240943
Best SVR parameters: C=20.118172819555735, epsilon=0.8068030769956458, gamma=0.5381787199421333, kernel=rbf

NN Mean: 848.5612513687262
Best NN parameters: hidden_layers=1, neurons=12, activation=linear

ONE Mean: 848.5990464470899

Training on residential subset..
Evaluating on residential..
SVR Mean: 157.8883117895323
Best SVR parameters: C=30.802072133306783, epsilon=17.18159379407495, gamma=1.8090373683342507, kernel=rbf

NN Mean: 128.09183201117298
Best NN parameters: hidden_layers=1, neurons=21, activation=linear

ONE Mean: 128.0930148906461

Training on residential..
Evaluating on city center..
SVR Mean: 225.45102527108403
Best SVR parameters: C=30.810690642034828, epsilon=21.636980189861234, gamma=1.290618741618307, kernel=rbf

NN Mean: 73.93012027353971
Best NN parameters: hidden_layers=1, neurons=26, activation=linear

ONE Mean: 73.9518730601032

Training on city center (k=1 closest)..
Evaluating on city center..
SVR Mean: 165.7423670441358
Best SVR parameters: C=19.94392668234871, epsilon=8.8432944529462, gamma=1.0980991084614504, kernel=rbf

NN Mean: 149.80715262333536
Best NN parameters: hidden_layers=3, neurons=1, activation=tanh

ONE Mean: 149.6674235795958

