Penerapan Data Mining Prediksi Hasil Akhir Pertandingan Bola Menggunakan Algoritma Neural Network

Data

Algoritma

Neural Network

Hasil

Hidden 1
Node 1 (Sigmoid)
Bet Home: -5.117
Draw Bet: -2.997
Away Bet: 7.394
Bet > 2.5: 1.795
Bet < 2.5: 3.830
Bias: -0.536
Node 2 (Sigmoid)
Bet Home: -8.066
Draw Bet: -3.727
Away Bet: 10.625
Bet > 2.5: 1.817
Bet < 2.5: 2.843
Bias: -2.476
Node 3 (Sigmoid)
Bet Home: 7.206
Draw Bet: 5.392
Away Bet: -9.260
Bet > 2.5: 2.849
Bet < 2.5: 5.554
Bias: 4.752
Node 4 (Sigmoid)
Bet Home: -1.294
Draw Bet: 4.331
Away Bet: -0.685
Bet > 2.5: -0.561
Bet < 2.5: 5.879
Bias: 0.962
Node 5 (Sigmoid)
Bet Home: -2.559
Draw Bet: -7.522
Away Bet: 8.729
Bet > 2.5: -8.843
Bet < 2.5: 6.913
Bias: -5.054
Output
Class ‘A’ (Sigmoid)
Node 1: -1.812
Node 2: -0.360
Node 3: 2.029
Node 4: 3.126
Node 5: -3.142
Threshold: -1.189
Class ‘D’ (Sigmoid)
Node 1: -0.679
Node 2: -1.229
Node 3: -1.295
Node 4: 0.174
Node 5: -1.506
Threshold: 0.087
Class ‘H’ (Sigmoid)
Node 1: 0.400
Node 2: 1.535
Node 3: -1.727
Node 4: -4.667
Node 5: 5.289
Threshold: -0.830

Evaluasi Algoritma

PerformanceVector:
accuracy: 49.80% +/- 3.14% (mikro: 49.80%)
ConfusionMatrix:
True: A D H
A: 116 65 52
D: 39 43 47
H: 75 104 220
kappa: 0.216 +/- 0.057 (mikro: 0.216)
ConfusionMatrix:
True: A D H
A: 116 65 52
D: 39 43 47
H: 75 104 220