8888847
710
William Raynaut
146205
Supervised Classification
precision
8311
weka.kf.HoeffdingTree(1)
6835536
mDataExp
Modelage
study_107
40678
led7
https://www.openml.org/data/download/4965253/led7.arff
-1
18693504
description
https://www.openml.org/data/download/18693504/description471196637892944970.xml
-1
18693505
predictions
https://www.openml.org/data/download/18693505/predictions5890961081714978834.arff
area_under_roc_curve
0.955306 [0.970169,0.982519,0.981818,0.951073,0.97454,0.948304,0.950851,0.973771,0.918945,0.898763]
average_cost
0
f_measure
0.729009 [0.781818,0.830357,0.793939,0.637744,0.768571,0.729927,0.738872,0.784195,0.642651,0.559701]
kappa
0.702838
kb_relative_information_score
2241.052846
mean_absolute_error
0.075473
mean_prior_absolute_error
0.179922
number_of_instances
3200 [325,333,319,270,336,335,341,304,327,310]
precision
0.733075 [0.770149,0.823009,0.768328,0.769634,0.739011,0.714286,0.747748,0.728814,0.607629,0.663717]
predictive_accuracy
0.732812
prior_entropy
3.319024
recall
0.732812 [0.793846,0.837838,0.821317,0.544444,0.800595,0.746269,0.730205,0.848684,0.681957,0.483871]
relative_absolute_error
0.419475
root_mean_prior_squared_error
0.299935
root_mean_squared_error
0.193403
root_relative_squared_error
0.644818
total_cost
0
area_under_roc_curve
0.955593 [0.946891,0.976718,0.987359,0.944697,0.985654,0.955971,0.938246,0.975977,0.918752,0.92421]
area_under_roc_curve
0.957357 [0.969327,0.973551,0.986328,0.953988,0.98478,0.949815,0.968943,0.969023,0.922363,0.890724]
area_under_roc_curve
0.955427 [0.973234,0.987013,0.980794,0.96922,0.983237,0.926316,0.96051,0.966954,0.907986,0.898315]
area_under_roc_curve
0.957244 [0.977141,0.98469,0.993218,0.960624,0.939428,0.938657,0.956911,0.989138,0.935601,0.898538]
area_under_roc_curve
0.958936 [0.971914,0.992028,0.995117,0.93844,0.993559,0.945444,0.935726,0.981839,0.928571,0.903951]
area_under_roc_curve
0.953954 [0.96582,0.98658,0.96951,0.944255,0.980256,0.962773,0.944056,0.970172,0.939236,0.87147]
area_under_roc_curve
0.950507 [0.970595,0.984317,0.97602,0.964606,0.98242,0.935223,0.945599,0.978848,0.868652,0.900547]
area_under_roc_curve
0.956516 [0.975098,0.980461,0.971137,0.958728,0.98205,0.967902,0.966578,0.966905,0.917327,0.875042]
area_under_roc_curve
0.958917 [0.975477,0.985271,0.994629,0.948237,0.965138,0.962939,0.940817,0.980467,0.924876,0.909644]
area_under_roc_curve
0.965199 [0.985297,0.984215,0.97137,0.945392,0.960253,0.95444,0.986316,0.969137,0.957607,0.93247]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.726377 [0.75,0.777778,0.852459,0.652174,0.75,0.742857,0.698413,0.793651,0.666667,0.566667]
f_measure
0.719076 [0.805556,0.757576,0.782609,0.55814,0.756757,0.763158,0.761905,0.819672,0.637681,0.510638]
f_measure
0.740291 [0.818182,0.857143,0.75,0.634146,0.80597,0.707692,0.794118,0.746269,0.628571,0.62963]
f_measure
0.720095 [0.793651,0.818182,0.875,0.571429,0.676056,0.684932,0.705882,0.828571,0.707692,0.517241]
f_measure
0.780103 [0.825397,0.888889,0.878788,0.73913,0.895522,0.678571,0.739726,0.805556,0.657534,0.688525]
f_measure
0.723432 [0.769231,0.84058,0.721311,0.604651,0.8125,0.736842,0.746269,0.735294,0.684211,0.54902]
f_measure
0.708807 [0.774194,0.830769,0.8,0.6,0.789474,0.71875,0.704225,0.733333,0.571429,0.538462]
f_measure
0.712085 [0.828571,0.823529,0.787879,0.55814,0.735294,0.742857,0.733333,0.782609,0.60274,0.490566]
f_measure
0.711347 [0.685714,0.882353,0.815789,0.75,0.686567,0.732394,0.646154,0.848485,0.634921,0.434783]
f_measure
0.741163 [0.769231,0.830769,0.676923,0.693878,0.783784,0.78125,0.842105,0.741935,0.636364,0.62963]
kappa
0.697631
kappa
0.69747
kappa
0.714972
kappa
0.694109
kappa
0.75682
kappa
0.697529
kappa
0.676971
kappa
0.687188
kappa
0.690717
kappa
0.714965
kb_relative_information_score
222.821244
kb_relative_information_score
226.219859
kb_relative_information_score
226.827812
kb_relative_information_score
223.753648
kb_relative_information_score
230.534357
kb_relative_information_score
215.728239
kb_relative_information_score
219.012782
kb_relative_information_score
221.946581
kb_relative_information_score
226.370618
kb_relative_information_score
227.837707
mean_absolute_error
0.075458
mean_absolute_error
0.074914
mean_absolute_error
0.075014
mean_absolute_error
0.076462
mean_absolute_error
0.071153
mean_absolute_error
0.080118
mean_absolute_error
0.076412
mean_absolute_error
0.0769
mean_absolute_error
0.073966
mean_absolute_error
0.074328
mean_prior_absolute_error
0.179921
mean_prior_absolute_error
0.179919
mean_prior_absolute_error
0.179919
mean_prior_absolute_error
0.179919
mean_prior_absolute_error
0.179921
mean_prior_absolute_error
0.17992
mean_prior_absolute_error
0.179926
mean_prior_absolute_error
0.179926
mean_prior_absolute_error
0.179925
mean_prior_absolute_error
0.179921
number_of_instances
320 [33,33,32,27,34,33,34,30,33,31]
number_of_instances
320 [33,33,32,27,34,34,34,30,32,31]
number_of_instances
320 [33,33,32,27,34,34,34,30,32,31]
number_of_instances
320 [33,33,32,27,34,34,34,30,32,31]
number_of_instances
320 [33,33,32,27,33,34,34,30,33,31]
number_of_instances
320 [32,34,32,27,33,34,34,30,33,31]
number_of_instances
320 [32,34,32,27,33,33,34,31,33,31]
number_of_instances
320 [32,34,32,27,33,33,34,31,33,31]
number_of_instances
320 [32,33,32,27,34,33,34,31,33,31]
number_of_instances
320 [32,33,31,27,34,33,35,31,33,31]
precision
0.732404 [0.774194,0.717949,0.896552,0.789474,0.710526,0.702703,0.758621,0.757576,0.638889,0.586207]
precision
0.734452 [0.74359,0.757576,0.72973,0.75,0.7,0.690476,0.827586,0.806452,0.594595,0.75]
precision
0.756818 [0.818182,0.810811,0.675,0.928571,0.818182,0.741935,0.794118,0.675676,0.578947,0.73913]
precision
0.728826 [0.833333,0.818182,0.875,0.8,0.648649,0.641026,0.705882,0.725,0.69697,0.555556]
precision
0.797144 [0.866667,0.933333,0.852941,0.894737,0.882353,0.863636,0.692308,0.690476,0.6,0.7]
precision
0.737873 [0.757576,0.828571,0.758621,0.8125,0.83871,0.666667,0.757576,0.657895,0.604651,0.7]
precision
0.718346 [0.8,0.870968,0.857143,0.545455,0.697674,0.741935,0.675676,0.758621,0.540541,0.666667]
precision
0.722394 [0.763158,0.823529,0.764706,0.75,0.714286,0.702703,0.846154,0.710526,0.55,0.590909]
precision
0.721748 [0.631579,0.857143,0.704545,0.857143,0.69697,0.684211,0.677419,0.8,0.666667,0.666667]
precision
0.745318 [0.757576,0.84375,0.647059,0.772727,0.725,0.806452,0.780488,0.741935,0.636364,0.73913]
predictive_accuracy
0.728125
predictive_accuracy
0.728125
predictive_accuracy
0.74375
predictive_accuracy
0.725
predictive_accuracy
0.78125
predictive_accuracy
0.728125
predictive_accuracy
0.709375
predictive_accuracy
0.71875
predictive_accuracy
0.721875
predictive_accuracy
0.74375
prior_entropy
3.319024
prior_entropy
3.319024
prior_entropy
3.319024
prior_entropy
3.319024
prior_entropy
3.319024
prior_entropy
3.319024
prior_entropy
3.319024
prior_entropy
3.319024
prior_entropy
3.319024
prior_entropy
3.319024
recall
0.728125 [0.727273,0.848485,0.8125,0.555556,0.794118,0.787879,0.647059,0.833333,0.69697,0.548387]
recall
0.728125 [0.878788,0.757576,0.84375,0.444444,0.823529,0.852941,0.705882,0.833333,0.6875,0.387097]
recall
0.74375 [0.818182,0.909091,0.84375,0.481481,0.794118,0.676471,0.794118,0.833333,0.6875,0.548387]
recall
0.725 [0.757576,0.818182,0.875,0.444444,0.705882,0.735294,0.705882,0.966667,0.71875,0.483871]
recall
0.78125 [0.787879,0.848485,0.90625,0.62963,0.909091,0.558824,0.794118,0.966667,0.727273,0.677419]
recall
0.728125 [0.78125,0.852941,0.6875,0.481481,0.787879,0.823529,0.735294,0.833333,0.787879,0.451613]
recall
0.709375 [0.75,0.794118,0.75,0.666667,0.909091,0.69697,0.735294,0.709677,0.606061,0.451613]
recall
0.71875 [0.90625,0.823529,0.8125,0.444444,0.757576,0.787879,0.647059,0.870968,0.666667,0.419355]
recall
0.721875 [0.75,0.909091,0.96875,0.666667,0.676471,0.787879,0.617647,0.903226,0.606061,0.322581]
recall
0.74375 [0.78125,0.818182,0.709677,0.62963,0.852941,0.757576,0.914286,0.741935,0.636364,0.548387]
relative_absolute_error
0.419396
relative_absolute_error
0.416376
relative_absolute_error
0.416932
relative_absolute_error
0.424982
relative_absolute_error
0.395469
relative_absolute_error
0.445301
relative_absolute_error
0.424685
relative_absolute_error
0.427401
relative_absolute_error
0.411093
relative_absolute_error
0.413117
root_mean_prior_squared_error
0.299933
root_mean_prior_squared_error
0.299931
root_mean_prior_squared_error
0.299931
root_mean_prior_squared_error
0.299931
root_mean_prior_squared_error
0.299934
root_mean_prior_squared_error
0.299931
root_mean_prior_squared_error
0.299941
root_mean_prior_squared_error
0.299941
root_mean_prior_squared_error
0.29994
root_mean_prior_squared_error
0.299933
root_mean_squared_error
0.195468
root_mean_squared_error
0.193173
root_mean_squared_error
0.189387
root_mean_squared_error
0.193651
root_mean_squared_error
0.184969
root_mean_squared_error
0.203547
root_mean_squared_error
0.198553
root_mean_squared_error
0.194607
root_mean_squared_error
0.190947
root_mean_squared_error
0.189094
root_relative_squared_error
0.651706
root_relative_squared_error
0.644058
root_relative_squared_error
0.631434
root_relative_squared_error
0.645652
root_relative_squared_error
0.6167
root_relative_squared_error
0.678646
root_relative_squared_error
0.661972
root_relative_squared_error
0.648816
root_relative_squared_error
0.636616
root_relative_squared_error
0.630453
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0