{
    "score_name": "accuracy",
    "model": "Wodt",
    "version": "-",
    "stratified": false,
    "folds": 5,
    "date": "2021-12-17",
    "time": "22:03:54",
    "duration": 1852.35125374794,
    "seeds": [
        57,
        31,
        1714,
        17,
        23,
        79,
        83,
        97,
        7,
        1
    ],
    "platform": "Galgo",
    "results": [
        {
            "dataset": "balance-scale",
            "samples": 625,
            "features": 4,
            "classes": 3,
            "hyperparameters": {},
            "nodes": 75.52,
            "leaves": 38.26,
            "depth": 9.7,
            "score": 0.92128,
            "score_std": 0.031368162203100125,
            "time": 0.5242797040939331,
            "time_std": 0.05954504533052107
        },
        {
            "dataset": "balloons",
            "samples": 16,
            "features": 4,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 4.84,
            "leaves": 2.92,
            "depth": 2.88,
            "score": 0.6783333333333331,
            "score_std": 0.2527680095792715,
            "time": 0.013238053321838378,
            "time_std": 0.005249181793755993
        },
        {
            "dataset": "breast-cancer-wisc-diag",
            "samples": 569,
            "features": 30,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 14.72,
            "leaves": 7.86,
            "depth": 6.1,
            "score": 0.9659043626766031,
            "score_std": 0.014333296217523984,
            "time": 0.1901398468017578,
            "time_std": 0.03330944362833582
        },
        {
            "dataset": "breast-cancer-wisc-prog",
            "samples": 198,
            "features": 33,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 37.04,
            "leaves": 19.02,
            "depth": 7.76,
            "score": 0.707551282051282,
            "score_std": 0.06763805250945308,
            "time": 0.17951133728027344,
            "time_std": 0.02356538692102058
        },
        {
            "dataset": "breast-cancer-wisc",
            "samples": 699,
            "features": 9,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 33.48,
            "leaves": 17.24,
            "depth": 8.16,
            "score": 0.9423514902363824,
            "score_std": 0.01770754168958359,
            "time": 0.31486629009246825,
            "time_std": 0.04294170553682154
        },
        {
            "dataset": "breast-cancer",
            "samples": 286,
            "features": 9,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 415.64,
            "leaves": 208.32,
            "depth": 50.0,
            "score": 0.6632486388384754,
            "score_std": 0.04925109121345335,
            "time": 0.5558230686187744,
            "time_std": 0.05014010353815425
        },
        {
            "dataset": "cardiotocography-10clases",
            "samples": 2126,
            "features": 21,
            "classes": 10,
            "hyperparameters": {},
            "nodes": 639.72,
            "leaves": 320.36,
            "depth": 50.0,
            "score": 0.7796334714167358,
            "score_std": 0.01966283976162998,
            "time": 4.085838298797608,
            "time_std": 0.14191084950711444
        },
        {
            "dataset": "cardiotocography-3clases",
            "samples": 2126,
            "features": 21,
            "classes": 3,
            "hyperparameters": {},
            "nodes": 325.12,
            "leaves": 163.06,
            "depth": 45.84,
            "score": 0.9014120961060482,
            "score_std": 0.016029994123889068,
            "time": 2.078178172111511,
            "time_std": 0.1655032589190206
        },
        {
            "dataset": "conn-bench-sonar-mines-rocks",
            "samples": 208,
            "features": 60,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 21.88,
            "leaves": 11.44,
            "depth": 5.86,
            "score": 0.804123112659698,
            "score_std": 0.05815664564095989,
            "time": 0.14714357852935792,
            "time_std": 0.018754974028467954
        },
        {
            "dataset": "cylinder-bands",
            "samples": 512,
            "features": 35,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 75.84,
            "leaves": 38.42,
            "depth": 9.72,
            "score": 0.7025452122596612,
            "score_std": 0.03710659493721448,
            "time": 0.5017695045471191,
            "time_std": 0.0429495559447878
        },
        {
            "dataset": "dermatology",
            "samples": 366,
            "features": 34,
            "classes": 6,
            "hyperparameters": {},
            "nodes": 15.28,
            "leaves": 8.14,
            "depth": 6.22,
            "score": 0.9641873380229546,
            "score_std": 0.016641323865204168,
            "time": 0.17270841121673583,
            "time_std": 0.01538519412442757
        },
        {
            "dataset": "echocardiogram",
            "samples": 131,
            "features": 10,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 28.64,
            "leaves": 14.82,
            "depth": 7.86,
            "score": 0.7423646723646725,
            "score_std": 0.08024332218287807,
            "time": 0.12316420555114746,
            "time_std": 0.019526726467837947
        },
        {
            "dataset": "fertility",
            "samples": 100,
            "features": 9,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 78.04,
            "leaves": 39.52,
            "depth": 35.06,
            "score": 0.804,
            "score_std": 0.06770524351924304,
            "time": 0.10387094020843506,
            "time_std": 0.021659124332933342
        },
        {
            "dataset": "haberman-survival",
            "samples": 306,
            "features": 3,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 424.36,
            "leaves": 212.68,
            "depth": 50.0,
            "score": 0.6640084611316763,
            "score_std": 0.048474808452857704,
            "time": 0.8614156579971314,
            "time_std": 0.06250336925176107
        },
        {
            "dataset": "heart-hungarian",
            "samples": 294,
            "features": 12,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 57.68,
            "leaves": 29.34,
            "depth": 9.2,
            "score": 0.761928696668615,
            "score_std": 0.052100433118643194,
            "time": 0.29437047958374024,
            "time_std": 0.034710794256755516
        },
        {
            "dataset": "hepatitis",
            "samples": 155,
            "features": 19,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 20.32,
            "leaves": 10.66,
            "depth": 6.16,
            "score": 0.7683870967741936,
            "score_std": 0.0837940093572466,
            "time": 0.09747190952301026,
            "time_std": 0.014270667774533905
        },
        {
            "dataset": "ilpd-indian-liver",
            "samples": 583,
            "features": 9,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 212.28,
            "leaves": 106.64,
            "depth": 16.96,
            "score": 0.6778588269967581,
            "score_std": 0.035631066332769044,
            "time": 1.1527100229263305,
            "time_std": 0.05812674191070888
        },
        {
            "dataset": "ionosphere",
            "samples": 351,
            "features": 33,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 24.6,
            "leaves": 12.8,
            "depth": 6.9,
            "score": 0.8794607645875252,
            "score_std": 0.03858080219956032,
            "time": 0.23534549236297608,
            "time_std": 0.03756527983719139
        },
        {
            "dataset": "iris",
            "samples": 150,
            "features": 4,
            "classes": 3,
            "hyperparameters": {},
            "nodes": 13.96,
            "leaves": 7.48,
            "depth": 6.3,
            "score": 0.9466666666666668,
            "score_std": 0.036514837167011066,
            "time": 0.08351171493530274,
            "time_std": 0.018157608409650864
        },
        {
            "dataset": "led-display",
            "samples": 1000,
            "features": 7,
            "classes": 10,
            "hyperparameters": {},
            "nodes": 4140.2,
            "leaves": 2070.6,
            "depth": 50.0,
            "score": 0.7047,
            "score_std": 0.02916179006851258,
            "time": 4.585153012275696,
            "time_std": 0.09513993188012054
        },
        {
            "dataset": "libras",
            "samples": 360,
            "features": 90,
            "classes": 15,
            "hyperparameters": {},
            "nodes": 117.28,
            "leaves": 59.14,
            "depth": 11.56,
            "score": 0.7755555555555556,
            "score_std": 0.05481168659742484,
            "time": 0.8554220151901245,
            "time_std": 0.04813277715158259
        },
        {
            "dataset": "low-res-spect",
            "samples": 531,
            "features": 100,
            "classes": 9,
            "hyperparameters": {},
            "nodes": 75.56,
            "leaves": 38.28,
            "depth": 9.36,
            "score": 0.8551560571327809,
            "score_std": 0.03257565875687748,
            "time": 0.6675140190124512,
            "time_std": 0.05935628459550789
        },
        {
            "dataset": "lymphography",
            "samples": 148,
            "features": 18,
            "classes": 4,
            "hyperparameters": {},
            "nodes": 22.76,
            "leaves": 11.88,
            "depth": 6.56,
            "score": 0.7800459770114943,
            "score_std": 0.07599005574288029,
            "time": 0.11433894634246826,
            "time_std": 0.018662036166579306
        },
        {
            "dataset": "mammographic",
            "samples": 961,
            "features": 5,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 2984.32,
            "leaves": 1492.66,
            "depth": 50.0,
            "score": 0.7579566062176167,
            "score_std": 0.024906146679797566,
            "time": 3.269748258590698,
            "time_std": 0.15461355110521235
        },
        {
            "dataset": "molec-biol-promoter",
            "samples": 106,
            "features": 57,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 8.8,
            "leaves": 4.9,
            "depth": 3.88,
            "score": 0.778917748917749,
            "score_std": 0.07679562169715945,
            "time": 0.04398805618286133,
            "time_std": 0.011330442057689249
        },
        {
            "dataset": "musk-1",
            "samples": 476,
            "features": 166,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 44.52,
            "leaves": 22.76,
            "depth": 7.96,
            "score": 0.8411776315789474,
            "score_std": 0.03449014306500045,
            "time": 0.4067290496826172,
            "time_std": 0.04774312728504717
        },
        {
            "dataset": "oocytes_merluccius_nucleus_4d",
            "samples": 1022,
            "features": 41,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 264.52,
            "leaves": 132.76,
            "depth": 16.5,
            "score": 0.7348373983739838,
            "score_std": 0.026142104476547204,
            "time": 1.857047996520996,
            "time_std": 0.10462153350209553
        },
        {
            "dataset": "oocytes_merluccius_states_2f",
            "samples": 1022,
            "features": 25,
            "classes": 3,
            "hyperparameters": {},
            "nodes": 95.84,
            "leaves": 48.42,
            "depth": 12.06,
            "score": 0.902934481109517,
            "score_std": 0.022147306742109327,
            "time": 0.8180241823196411,
            "time_std": 0.07011738686499651
        },
        {
            "dataset": "oocytes_trisopterus_nucleus_2f",
            "samples": 912,
            "features": 25,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 208.64,
            "leaves": 104.82,
            "depth": 14.8,
            "score": 0.7491436978322225,
            "score_std": 0.03602040782195508,
            "time": 1.366597933769226,
            "time_std": 0.0718124128545409
        },
        {
            "dataset": "oocytes_trisopterus_states_5b",
            "samples": 912,
            "features": 32,
            "classes": 3,
            "hyperparameters": {},
            "nodes": 102.32,
            "leaves": 51.66,
            "depth": 12.14,
            "score": 0.8888062211013031,
            "score_std": 0.021400267111632645,
            "time": 0.9538007974624634,
            "time_std": 0.07220260280345452
        },
        {
            "dataset": "parkinsons",
            "samples": 195,
            "features": 22,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 17.56,
            "leaves": 9.28,
            "depth": 6.54,
            "score": 0.9005128205128206,
            "score_std": 0.05144589211891057,
            "time": 0.09572105407714844,
            "time_std": 0.01441453082207934
        },
        {
            "dataset": "pima",
            "samples": 768,
            "features": 8,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 213.52,
            "leaves": 107.26,
            "depth": 13.4,
            "score": 0.6881622952211188,
            "score_std": 0.035111562938444044,
            "time": 1.151892900466919,
            "time_std": 0.06278077452418963
        },
        {
            "dataset": "pittsburg-bridges-MATERIAL",
            "samples": 106,
            "features": 7,
            "classes": 3,
            "hyperparameters": {},
            "nodes": 77.2,
            "leaves": 39.1,
            "depth": 32.82,
            "score": 0.7994805194805195,
            "score_std": 0.07743566315819515,
            "time": 0.12932499408721923,
            "time_std": 0.023904844015019855
        },
        {
            "dataset": "pittsburg-bridges-REL-L",
            "samples": 103,
            "features": 7,
            "classes": 3,
            "hyperparameters": {},
            "nodes": 102.44,
            "leaves": 51.72,
            "depth": 33.62,
            "score": 0.6184285714285714,
            "score_std": 0.08544243928422808,
            "time": 0.22311851024627685,
            "time_std": 0.0285335875152242
        },
        {
            "dataset": "pittsburg-bridges-SPAN",
            "samples": 92,
            "features": 7,
            "classes": 3,
            "hyperparameters": {},
            "nodes": 159.64,
            "leaves": 80.32,
            "depth": 47.52,
            "score": 0.5871929824561403,
            "score_std": 0.11611933933595711,
            "time": 0.22651512622833253,
            "time_std": 0.03177540914954074
        },
        {
            "dataset": "pittsburg-bridges-T-OR-D",
            "samples": 102,
            "features": 7,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 77.08,
            "leaves": 39.04,
            "depth": 33.58,
            "score": 0.8375238095238096,
            "score_std": 0.07413072965623015,
            "time": 0.11360514640808106,
            "time_std": 0.02505389388353889
        },
        {
            "dataset": "planning",
            "samples": 182,
            "features": 12,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 65.68,
            "leaves": 33.34,
            "depth": 9.6,
            "score": 0.5682732732732733,
            "score_std": 0.08743812057354583,
            "time": 0.2800183057785034,
            "time_std": 0.025888566694716
        },
        {
            "dataset": "post-operative",
            "samples": 90,
            "features": 8,
            "classes": 3,
            "hyperparameters": {},
            "nodes": 394.28,
            "leaves": 197.64,
            "depth": 50.0,
            "score": 0.5566666666666666,
            "score_std": 0.10627822791331752,
            "time": 0.3029981231689453,
            "time_std": 0.04405189230914079
        },
        {
            "dataset": "seeds",
            "samples": 210,
            "features": 7,
            "classes": 3,
            "hyperparameters": {},
            "nodes": 21.04,
            "leaves": 11.02,
            "depth": 6.38,
            "score": 0.9290476190476191,
            "score_std": 0.04218789629863413,
            "time": 0.13118177890777588,
            "time_std": 0.020561468583492015
        },
        {
            "dataset": "statlog-australian-credit",
            "samples": 690,
            "features": 14,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 249.8,
            "leaves": 125.4,
            "depth": 15.34,
            "score": 0.5617391304347826,
            "score_std": 0.03785467296768582,
            "time": 1.2396965360641479,
            "time_std": 0.060517403698558875
        },
        {
            "dataset": "statlog-german-credit",
            "samples": 1000,
            "features": 24,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 167.52,
            "leaves": 84.26,
            "depth": 12.08,
            "score": 0.6824999999999999,
            "score_std": 0.021430118991736812,
            "time": 1.1248535633087158,
            "time_std": 0.060090725932348855
        },
        {
            "dataset": "statlog-heart",
            "samples": 270,
            "features": 13,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 42.04,
            "leaves": 21.52,
            "depth": 8.18,
            "score": 0.7777777777777779,
            "score_std": 0.04757493547653752,
            "time": 0.22263538360595703,
            "time_std": 0.0286690130763837
        },
        {
            "dataset": "statlog-image",
            "samples": 2310,
            "features": 18,
            "classes": 7,
            "hyperparameters": {},
            "nodes": 153.48,
            "leaves": 77.24,
            "depth": 14.96,
            "score": 0.9534199134199135,
            "score_std": 0.011148678082818688,
            "time": 2.1096962881088257,
            "time_std": 0.13834907360970988
        },
        {
            "dataset": "statlog-vehicle",
            "samples": 846,
            "features": 18,
            "classes": 4,
            "hyperparameters": {},
            "nodes": 209.52,
            "leaves": 105.26,
            "depth": 15.62,
            "score": 0.7275454229028889,
            "score_std": 0.0308847849703941,
            "time": 1.3719318723678589,
            "time_std": 0.07335046189240134
        },
        {
            "dataset": "synthetic-control",
            "samples": 600,
            "features": 60,
            "classes": 6,
            "hyperparameters": {},
            "nodes": 14.16,
            "leaves": 7.58,
            "depth": 4.92,
            "score": 0.9785,
            "score_std": 0.01453826368969525,
            "time": 0.25300102710723876,
            "time_std": 0.02314185478137827
        },
        {
            "dataset": "tic-tac-toe",
            "samples": 958,
            "features": 9,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 55.28,
            "leaves": 28.14,
            "depth": 8.68,
            "score": 0.9422676701570681,
            "score_std": 0.03344804236125215,
            "time": 0.5529456472396851,
            "time_std": 0.13470314886292503
        },
        {
            "dataset": "vertebral-column-2clases",
            "samples": 310,
            "features": 6,
            "classes": 2,
            "hyperparameters": {},
            "nodes": 68.68,
            "leaves": 34.84,
            "depth": 12.62,
            "score": 0.8070967741935482,
            "score_std": 0.05624015696050971,
            "time": 0.37030462265014646,
            "time_std": 0.038522827386800594
        },
        {
            "dataset": "wine",
            "samples": 178,
            "features": 13,
            "classes": 3,
            "hyperparameters": {},
            "nodes": 6.28,
            "leaves": 3.64,
            "depth": 3.32,
            "score": 0.967920634920635,
            "score_std": 0.028208046326376822,
            "time": 0.04972550392150879,
            "time_std": 0.009783363824258531
        },
        {
            "dataset": "zoo",
            "samples": 101,
            "features": 16,
            "classes": 7,
            "hyperparameters": {},
            "nodes": 14.12,
            "leaves": 7.56,
            "depth": 5.28,
            "score": 0.9514285714285715,
            "score_std": 0.043724036675722826,
            "time": 0.06925778865814208,
            "time_std": 0.007307272211169333
        }
    ],
    "title": "default"
}