analisis-sentimen-program-m.../model_metrics.json

76 lines
2.0 KiB
JSON

{
"k_fold": 5,
"best_C": 10,
"best_gamma": 0.1,
"kfold_results": [
{
"fold": 1,
"accuracy": 0.918848167539267,
"precision": 0.9189330691948493,
"recall": 0.918848167539267,
"f1_score": 0.9188841829346038,
"TP": 144,
"TN": 207,
"FP": 16,
"FN": 15
},
{
"fold": 2,
"accuracy": 0.926509186351706,
"precision": 0.9270533924820701,
"recall": 0.926509186351706,
"f1_score": 0.9261141763884262,
"TP": 139,
"TN": 214,
"FP": 9,
"FN": 19
},
{
"fold": 3,
"accuracy": 0.926509186351706,
"precision": 0.9273433169398279,
"recall": 0.926509186351706,
"f1_score": 0.9266928096438538,
"TP": 147,
"TN": 206,
"FP": 17,
"FN": 11
},
{
"fold": 4,
"accuracy": 0.9501312335958005,
"precision": 0.9500994252598711,
"recall": 0.9501312335958005,
"f1_score": 0.9501086085573439,
"TP": 149,
"TN": 213,
"FP": 9,
"FN": 10
},
{
"fold": 5,
"accuracy": 0.9422572178477691,
"precision": 0.9430101540337761,
"recall": 0.9422572178477691,
"f1_score": 0.9423963747301753,
"TP": 151,
"TN": 208,
"FP": 14,
"FN": 8
}
],
"average": {
"accuracy": 0.9328509983372497,
"precision": 0.9332878715820788,
"recall": 0.9328509983372497,
"f1_score": 0.9328392304508807,
"std_accuracy": 0.01152041600766086
},
"best_fold": 4,
"alpha": {
"average": 3.828429887567018,
"minimum": 0.01797406476691356,
"maximum": 10.0,
"n_support_vectors": 951
}
}