202313
2
Joaquin Vanschoren
1882
Supervised Classification
predictive_accuracy
1105
weka.IBk(4)
2025
weka.classifiers.lazy.IBk -- -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
K
5
1105
W
0
1105
A
true
1105
weka
weka_3.7.12
2
anneal
https://www.openml.org/data/download/1666876/phpFsFYVN
-1
666956
description
https://api.openml.org/data/download/666956/weka_generated_run4477508729127958827.xml
-1
666959
model_readable
https://api.openml.org/data/download/666959/WekaModel_weka.classifiers.lazy.IBk8813700887835754353.model
-1
666958
model_serialized
https://api.openml.org/data/download/666958/WekaSerialized_weka.classifiers.lazy.IBk1503975190614540414.model
-1
666957
predictions
https://api.openml.org/data/download/666957/weka_generated_predictions7480857940331881575.arff
area_under_roc_curve
0.960509 [0.944614,0.94283,0.959604,0.0,1,0.956763]
average_cost
0
f_measure
0.926918 [0.735294,0.720249,0.957002,0,1,0.839895]
kappa
0.816214
kb_relative_information_score
7224.368114
mean_absolute_error
0.027397
mean_prior_absolute_error
0.134305
number_of_instances
8980 [80,990,6840,0,670,400]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.932606 [0.892857,0.939837,0.928267,0,1,0.883978]
predictive_accuracy
0.932405
prior_entropy
1.214875
recall
0.932405 [0.625,0.583838,0.987573,0,1,0.8]
relative_absolute_error
0.203989
root_mean_prior_squared_error
0.258218
root_mean_squared_error
0.129115
root_relative_squared_error
0.500023
scimark_benchmark
924.369781 [492.5841787776069, 971.2474997442686, 475.7385195030516, 913.7121081704029, 1768.5665966389256]
total_cost
0
usercpu_time_millis
400
usercpu_time_millis_testing
400
usercpu_time_millis_training
0
area_under_roc_curve
0.952273 [1,0.895748,0.951346,0.0,1,1]
area_under_roc_curve
0.968207 [1,0.946502,0.966184,0.0,1,0.988372]
area_under_roc_curve
0.951237 [1,0.90875,0.94962,0.0,1,1]
area_under_roc_curve
0.990985 [1,0.995,0.989303,0.0,1,0.994186]
area_under_roc_curve
0.977291 [1,0.99875,0.976881,0.0,1,0.890988]
area_under_roc_curve
0.998942 [1,1,0.99862,0.0,1,1]
area_under_roc_curve
0.883437 [1,0.82125,0.880607,0.0,1,0.883721]
area_under_roc_curve
0.970172 [1,0.949375,0.968599,0.0,1,0.997093]
area_under_roc_curve
0.929029 [1,0.946502,0.928226,0.0,1,0.761628]
area_under_roc_curve
0.951433 [1,0.899863,0.949965,0.0,1,0.99564]
area_under_roc_curve
0.908092 [1,0.858125,0.906832,0.0,1,0.893895]
area_under_roc_curve
0.972202 [1,0.990625,0.971257,0.0,1,0.886628]
area_under_roc_curve
0.974074 [1,0.95,0.97343,0.0,1,1]
area_under_roc_curve
0.911264 [1,0.94,0.907867,0.0,1,0.742733]
area_under_roc_curve
0.930784 [1,0.855625,0.930642,0.0,1,1]
area_under_roc_curve
0.99098 [1,0.994375,0.989303,0.0,1,0.99564]
area_under_roc_curve
0.996424 [1,0.998628,0.995514,0.0,1,1]
area_under_roc_curve
0.895352 [1,0.825,0.8951,0.0,1,0.892442]
area_under_roc_curve
0.971505 [1,0.99,0.970254,0.0,1,0.889535]
area_under_roc_curve
0.956511 [0.589888,0.954375,0.955832,0.0,1,1]
area_under_roc_curve
0.947307 [1,0.95375,0.945135,0.0,1,0.876453]
area_under_roc_curve
0.975465 [0.567416,0.9975,0.974599,0.0,1,0.994186]
area_under_roc_curve
0.961868 [0.561798,0.986875,0.958937,0.0,1,0.992733]
area_under_roc_curve
0.951283 [1,0.945625,0.950656,0.0,1,0.890988]
area_under_roc_curve
0.991417 [1,0.99,0.990338,0.0,1,0.998547]
area_under_roc_curve
0.973373 [1,0.954375,0.97205,0.0,1,0.997093]
area_under_roc_curve
0.972816 [1,0.98875,0.972259,0.0,1,0.888081]
area_under_roc_curve
0.969334 [1,0.99375,0.967564,0.0,1,0.885174]
area_under_roc_curve
0.968491 [0.544944,0.994375,0.966243,0.0,1,0.992733]
area_under_roc_curve
0.952276 [1,0.979375,0.94824,0.0,1,0.87064]
area_under_roc_curve
0.978806 [1,0.956875,0.978606,0.0,1,1]
area_under_roc_curve
0.994815 [1,0.999375,0.993316,0.0,1,0.998547]
area_under_roc_curve
0.972947 [1,0.943759,0.97205,0.0,1,1]
area_under_roc_curve
0.97303 [1,0.947874,0.971705,0.0,1,0.998547]
area_under_roc_curve
0.965594 [0.994382,0.993125,0.962567,0.0,1,0.880814]
area_under_roc_curve
0.970084 [0.589888,0.991084,0.968254,0.0,1,0.997093]
area_under_roc_curve
0.935341 [1,0.86125,0.934826,0.0,1,1]
area_under_roc_curve
0.976132 [1,0.946502,0.975845,0.0,1,1]
area_under_roc_curve
0.995038 [1,0.99625,0.993984,0.0,1,1]
area_under_roc_curve
0.926768 [1,0.8825,0.922015,0.0,1,0.991279]
area_under_roc_curve
0.925245 [0.550562,0.95,0.92246,0.0,1,0.873547]
area_under_roc_curve
0.93327 [1,0.85625,0.932821,0.0,1,1]
area_under_roc_curve
0.932241 [1,0.860625,0.930816,0.0,1,1]
area_under_roc_curve
0.951862 [1,0.903125,0.950535,0.0,1,1]
area_under_roc_curve
0.955179 [0.573034,0.95125,0.954211,0.0,1,0.998547]
area_under_roc_curve
0.975158 [1,0.946875,0.974933,0.0,1,1]
area_under_roc_curve
0.946557 [1,0.929375,0.940508,0.0,1,0.985465]
area_under_roc_curve
0.932756 [1,0.9475,0.932487,0.0,1,0.765988]
area_under_roc_curve
0.93882 [1,0.91,0.938503,0.0,1,0.893895]
area_under_roc_curve
0.996414 [1,0.995,0.995989,0.0,1,1]
area_under_roc_curve
0.98649 [1,0.9875,0.983957,0.0,1,1]
area_under_roc_curve
0.975114 [1,0.94875,0.974599,0.0,1,1]
area_under_roc_curve
0.971301 [1,0.94625,0.96992,0.0,1,1]
area_under_roc_curve
0.953388 [0.573034,0.9975,0.951537,0.0,1,0.888081]
area_under_roc_curve
0.933188 [1,0.91,0.931818,0.0,1,0.880814]
area_under_roc_curve
0.952716 [1,0.92,0.949866,0.0,1,0.988372]
area_under_roc_curve
0.93803 [1,0.8725,0.9375,0.0,1,0.986919]
area_under_roc_curve
0.931805 [0.567416,0.90625,0.930147,0.0,1,0.99564]
area_under_roc_curve
0.985158 [1,0.986875,0.982286,0.0,1,1]
area_under_roc_curve
0.915329 [0.994382,0.9075,0.914104,0.0,1,0.787791]
area_under_roc_curve
0.97033 [1,0.950625,0.968249,0.0,1,0.99564]
area_under_roc_curve
0.992324 [1,0.996875,0.990642,0.0,1,0.994186]
area_under_roc_curve
0.952408 [1,0.95,0.951203,0.0,1,0.883721]
area_under_roc_curve
0.976862 [1,0.953125,0.97627,0.0,1,1]
area_under_roc_curve
0.95842 [1,0.915,0.957553,0.0,1,0.998547]
area_under_roc_curve
0.926339 [1,0.9,0.923797,0.0,1,0.888081]
area_under_roc_curve
0.950741 [0.516854,0.991875,0.950201,0.0,1,0.87936]
area_under_roc_curve
0.94939 [1,0.903125,0.947861,0.0,1,0.989826]
area_under_roc_curve
0.910137 [1,0.81,0.909091,0.0,1,0.998547]
area_under_roc_curve
0.973395 [1,0.9475,0.972594,0.0,1,0.998547]
area_under_roc_curve
0.992398 [1,0.99125,0.99131,0.0,1,0.998547]
area_under_roc_curve
0.949789 [0.988764,0.90875,0.947895,0.0,1,1]
area_under_roc_curve
0.941751 [1,0.9025,0.9375,0.0,1,0.99564]
area_under_roc_curve
0.948277 [1,0.905,0.945856,0.0,1,0.994186]
area_under_roc_curve
0.925215 [1,0.85875,0.921791,0.0,1,1]
area_under_roc_curve
0.929171 [1,0.90625,0.927139,0.0,1,0.87936]
area_under_roc_curve
0.998673 [1,1,0.998329,0.0,1,0.998547]
area_under_roc_curve
0.971122 [1,0.9475,0.969586,0.0,1,0.998547]
area_under_roc_curve
0.909148 [1,0.81625,0.908213,0.0,1,0.998547]
area_under_roc_curve
0.988981 [1,0.990625,0.986965,0.0,1,0.997093]
area_under_roc_curve
0.990285 [0.0,0.987342,0.989146,0.0,1,1]
area_under_roc_curve
0.918304 [0.0,0.897468,0.916304,0.0,1,0.882353]
area_under_roc_curve
0.91912 [0.0,0.868987,0.919118,0.0,1,0.902941]
area_under_roc_curve
0.979523 [0.0,0.958228,0.979342,0.0,1,1]
area_under_roc_curve
0.994505 [0.0,0.998101,0.993347,0.0,1,0.995588]
area_under_roc_curve
0.991229 [0.0,0.988608,0.990196,0.0,1,1]
area_under_roc_curve
0.992625 [0.0,0.993038,0.991667,0.0,1,0.997059]
area_under_roc_curve
0.973324 [0.0,0.951266,0.972339,0.0,1,0.998529]
area_under_roc_curve
0.975169 [0.0,0.958861,0.974275,0.0,1,0.994118]
area_under_roc_curve
0.957264 [0.0,0.910127,0.957283,0.0,1,1]
area_under_roc_curve
0.952139 [0.0,0.994937,0.952031,0.0,1,0.763235]
area_under_roc_curve
0.95162 [0.0,0.970886,0.948551,0.0,1,0.883824]
area_under_roc_curve
0.950002 [0.0,0.95443,0.948529,0.0,1,0.876471]
area_under_roc_curve
0.973039 [0.0,0.948734,0.972339,0.0,1,0.998529]
area_under_roc_curve
0.947555 [0.0,0.891667,0.946739,0.0,1,0.995588]
area_under_roc_curve
0.90719 [0.0,0.903797,0.906863,0.0,1,0.758824]
area_under_roc_curve
0.98709 [0.0,0.993038,0.984783,0.0,1,0.992647]
area_under_roc_curve
0.995882 [0.0,0.994304,0.995448,0.0,1,1]
area_under_roc_curve
0.997116 [0.0,0.996835,0.996739,0.0,1,1]
area_under_roc_curve
0.977846 [0.0,0.957595,0.977241,0.0,1,1]
average_cost
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f_measure
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f_measure
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f_measure
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0.922837 [0,0.75,0.957746,0,1,0.857143]
f_measure
0.92859 [1,0.705882,0.957143,0,1,0.857143]
f_measure
0.924689 [1,0.666667,0.957746,0,1,0.857143]
f_measure
0.923815 [0,0.705882,0.957746,0,1,1]
f_measure
0.864931 [1,0.307692,0.929577,0,1,0.888889]
f_measure
0.898174 [0,0.666667,0.943662,0,1,0.75]
f_measure
0.883872 [0,0.533333,0.93617,0,1,0.888889]
f_measure
0.889308 [0,0.823529,0.93617,0,1,0.285714]
f_measure
0.966171 [1,0.888889,0.978102,0,1,0.888889]
f_measure
0.940106 [1,0.75,0.964029,0,1,0.888889]
f_measure
0.92563 [1,0.666667,0.957746,0,1,0.888889]
f_measure
0.925644 [1,0.666667,0.957143,0,1,0.888889]
f_measure
0.947146 [0,0.777778,0.963504,0,1,1]
f_measure
0.887536 [0,0.533333,0.937063,0,1,0.75]
f_measure
0.938396 [0,0.75,0.964539,0,1,0.857143]
f_measure
0.935453 [0,0.666667,0.964539,0,1,1]
f_measure
0.924808 [0,0.666667,0.957143,0,1,0.888889]
f_measure
0.908025 [0,0.571429,0.951049,0,1,0.857143]
f_measure
0.976993 [0,0.952381,0.985507,0,1,0.857143]
f_measure
0.908025 [0,0.571429,0.951049,0,1,0.857143]
f_measure
0.927916 [0,0.75,0.957746,0,1,0.75]
f_measure
0.964605 [0,0.888889,0.978417,0,1,0.857143]
f_measure
0.964605 [0,0.888889,0.978417,0,1,0.857143]
f_measure
0.884463 [0,0.533333,0.937931,0,1,0.666667]
f_measure
0.931971 [0,0.823529,0.956522,0,1,0.666667]
f_measure
0.938396 [0,0.75,0.964539,0,1,0.857143]
f_measure
0.927113 [0,0.666667,0.957746,0,1,0.857143]
f_measure
0.964605 [0,0.888889,0.978417,0,1,0.857143]
f_measure
0.927916 [0,0.75,0.957746,0,1,0.75]
f_measure
0.965528 [0,0.842105,0.978102,0,1,1]
f_measure
0.977528 [0,0.9,0.985507,0,1,1]
f_measure
0.95008 [0,0.75,0.971429,0,1,1]
kappa
0.745042
kappa
0.817073
kappa
0.877966
kappa
0.882545
kappa
0.91009
kappa
0.844345
kappa
0.734121
kappa
0.856368
kappa
0.850598
kappa
0.844129
kappa
0.816576
kappa
0.861368
kappa
0.816201
kappa
0.745223
kappa
0.772317
kappa
0.782082
kappa
0.941253
kappa
0.808307
kappa
0.781931
kappa
0.877593
kappa
0.816949
kappa
0.824047
kappa
0.718945
kappa
0.706628
kappa
0.856368
kappa
0.807898
kappa
0.85623
kappa
0.790628
kappa
0.816389
kappa
0.669339
kappa
0.877717
kappa
0.791183
kappa
0.91012
kappa
0.856551
kappa
0.745133
kappa
0.882314
kappa
0.745133
kappa
0.808443
kappa
0.856916
kappa
0.643372
kappa
0.765396
kappa
0.856505
kappa
0.817135
kappa
0.824561
kappa
0.855815
kappa
0.824561
kappa
0.6647
kappa
0.817321
kappa
0.817321
kappa
0.883041
kappa
0.850993
kappa
0.817691
kappa
0.856916
kappa
0.781931
kappa
0.856505
kappa
0.683099
kappa
0.816949
kappa
0.798529
kappa
0.696765
kappa
0.816389
kappa
0.765396
kappa
0.824561
kappa
0.816949
kappa
0.943644
kappa
0.791804
kappa
0.732585
kappa
0.755684
kappa
0.816949
kappa
0.816763
kappa
0.824219
kappa
0.817321
kappa
0.816389
kappa
0.696765
kappa
0.75618
kappa
0.731521
kappa
0.730449
kappa
0.917127
kappa
0.856779
kappa
0.817321
kappa
0.824903
kappa
0.855707
kappa
0.704755
kappa
0.843089
kappa
0.84342
kappa
0.816242
kappa
0.770956
kappa
0.940706
kappa
0.770956
kappa
0.807359
kappa
0.909553
kappa
0.909553
kappa
0.689895
kappa
0.823296
kappa
0.843089
kappa
0.807151
kappa
0.909553
kappa
0.807359
kappa
0.913142
kappa
0.940824
kappa
0.877241
kb_relative_information_score
70.811271
kb_relative_information_score
72.946135
kb_relative_information_score
72.712046
kb_relative_information_score
75.181665
kb_relative_information_score
77.000647
kb_relative_information_score
79.288597
kb_relative_information_score
62.572674
kb_relative_information_score
73.149711
kb_relative_information_score
73.461309
kb_relative_information_score
73.558753
kb_relative_information_score
67.257893
kb_relative_information_score
77.196657
kb_relative_information_score
75.947719
kb_relative_information_score
64.761164
kb_relative_information_score
69.554719
kb_relative_information_score
73.562389
kb_relative_information_score
78.911471
kb_relative_information_score
65.976045
kb_relative_information_score
72.692107
kb_relative_information_score
70.803063
kb_relative_information_score
68.055882
kb_relative_information_score
74.057246
kb_relative_information_score
65.726306
kb_relative_information_score
69.357462
kb_relative_information_score
75.596383
kb_relative_information_score
73.05157
kb_relative_information_score
76.787348
kb_relative_information_score
69.784855
kb_relative_information_score
72.341384
kb_relative_information_score
64.956472
kb_relative_information_score
77.74362
kb_relative_information_score
76.800531
kb_relative_information_score
75.654884
kb_relative_information_score
75.678442
kb_relative_information_score
70.956434
kb_relative_information_score
69.6283
kb_relative_information_score
71.414688
kb_relative_information_score
74.1788
kb_relative_information_score
77.448594
kb_relative_information_score
62.737988
kb_relative_information_score
66.729879
kb_relative_information_score
74.689795
kb_relative_information_score
73.040182
kb_relative_information_score
75.710907
kb_relative_information_score
71.065983
kb_relative_information_score
78.536377
kb_relative_information_score
65.544235
kb_relative_information_score
73.131473
kb_relative_information_score
71.440962
kb_relative_information_score
79.172887
kb_relative_information_score
75.116082
kb_relative_information_score
77.01597
kb_relative_information_score
75.586281
kb_relative_information_score
68.34913
kb_relative_information_score
71.860144
kb_relative_information_score
70.631718
kb_relative_information_score
74.753781
kb_relative_information_score
70.340799
kb_relative_information_score
72.249235
kb_relative_information_score
70.008132
kb_relative_information_score
74.503306
kb_relative_information_score
77.798346
kb_relative_information_score
73.166297
kb_relative_information_score
79.905606
kb_relative_information_score
74.747887
kb_relative_information_score
67.932507
kb_relative_information_score
70.041683
kb_relative_information_score
74.677935
kb_relative_information_score
72.355245
kb_relative_information_score
76.533895
kb_relative_information_score
76.390995
kb_relative_information_score
70.034224
kb_relative_information_score
68.103279
kb_relative_information_score
71.812945
kb_relative_information_score
70.249502
kb_relative_information_score
69.722278
kb_relative_information_score
82.775589
kb_relative_information_score
75.865962
kb_relative_information_score
69.243505
kb_relative_information_score
74.280251
kb_relative_information_score
72.674609
kb_relative_information_score
60.083542
kb_relative_information_score
69.482566
kb_relative_information_score
73.168266
kb_relative_information_score
73.642467
kb_relative_information_score
69.66967
kb_relative_information_score
71.544659
kb_relative_information_score
70.344501
kb_relative_information_score
70.540139
kb_relative_information_score
77.329827
kb_relative_information_score
71.129791
kb_relative_information_score
60.203248
kb_relative_information_score
70.122361
kb_relative_information_score
70.721406
kb_relative_information_score
68.162433
kb_relative_information_score
71.286934
kb_relative_information_score
66.315683
kb_relative_information_score
77.157773
kb_relative_information_score
72.721137
kb_relative_information_score
73.648685
mean_absolute_error
0.029083
mean_absolute_error
0.026293
mean_absolute_error
0.025797
mean_absolute_error
0.023089
mean_absolute_error
0.017413
mean_absolute_error
0.015829
mean_absolute_error
0.03874
mean_absolute_error
0.026046
mean_absolute_error
0.023335
mean_absolute_error
0.024443
mean_absolute_error
0.030936
mean_absolute_error
0.022469
mean_absolute_error
0.020391
mean_absolute_error
0.037267
mean_absolute_error
0.029988
mean_absolute_error
0.027281
mean_absolute_error
0.017785
mean_absolute_error
0.032204
mean_absolute_error
0.028508
mean_absolute_error
0.025054
mean_absolute_error
0.03258
mean_absolute_error
0.025181
mean_absolute_error
0.035413
mean_absolute_error
0.028756
mean_absolute_error
0.024074
mean_absolute_error
0.02752
mean_absolute_error
0.022677
mean_absolute_error
0.029496
mean_absolute_error
0.027525
mean_absolute_error
0.036281
mean_absolute_error
0.018647
mean_absolute_error
0.026903
mean_absolute_error
0.023089
mean_absolute_error
0.023064
mean_absolute_error
0.03258
mean_absolute_error
0.029686
mean_absolute_error
0.033072
mean_absolute_error
0.024813
mean_absolute_error
0.025182
mean_absolute_error
0.041817
mean_absolute_error
0.032827
mean_absolute_error
0.026291
mean_absolute_error
0.030605
mean_absolute_error
0.026784
mean_absolute_error
0.029987
mean_absolute_error
0.021733
mean_absolute_error
0.042683
mean_absolute_error
0.029761
mean_absolute_error
0.030725
mean_absolute_error
0.022202
mean_absolute_error
0.029248
mean_absolute_error
0.024073
mean_absolute_error
0.027034
mean_absolute_error
0.030728
mean_absolute_error
0.030478
mean_absolute_error
0.035776
mean_absolute_error
0.026408
mean_absolute_error
0.028631
mean_absolute_error
0.032846
mean_absolute_error
0.030849
mean_absolute_error
0.030358
mean_absolute_error
0.025061
mean_absolute_error
0.029126
mean_absolute_error
0.019757
mean_absolute_error
0.025425
mean_absolute_error
0.036027
mean_absolute_error
0.028515
mean_absolute_error
0.029129
mean_absolute_error
0.030096
mean_absolute_error
0.025728
mean_absolute_error
0.026785
mean_absolute_error
0.029987
mean_absolute_error
0.036646
mean_absolute_error
0.032827
mean_absolute_error
0.033935
mean_absolute_error
0.03453
mean_absolute_error
0.017287
mean_absolute_error
0.026784
mean_absolute_error
0.029865
mean_absolute_error
0.028265
mean_absolute_error
0.024088
mean_absolute_error
0.034062
mean_absolute_error
0.024206
mean_absolute_error
0.020968
mean_absolute_error
0.021471
mean_absolute_error
0.030319
mean_absolute_error
0.021202
mean_absolute_error
0.025576
mean_absolute_error
0.021341
mean_absolute_error
0.014735
mean_absolute_error
0.023591
mean_absolute_error
0.038614
mean_absolute_error
0.024339
mean_absolute_error
0.027201
mean_absolute_error
0.026202
mean_absolute_error
0.019854
mean_absolute_error
0.029326
mean_absolute_error
0.016111
mean_absolute_error
0.018924
mean_absolute_error
0.020721
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133342
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.13321
mean_prior_absolute_error
0.135738
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.131132
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
mean_prior_absolute_error
0.130999
mean_prior_absolute_error
0.133555
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,9,69,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,69,0,6,4]
number_of_instances
89 [0,10,68,0,7,4]
precision
0.892333 [0,0.75,0.906667,0,1,1]
precision
0.936377 [1,1,0.931507,0,1,0.75]
precision
0.957991 [1,1,0.945205,0,1,1]
precision
0.947606 [0,1,0.957746,0,1,0.8]
precision
0.968056 [1,1,0.958333,0,1,1]
precision
0.948198 [1,1,0.932432,0,1,1]
precision
0.920346 [1,1,0.896104,0,1,1]
precision
0.944365 [1,0.875,0.957143,0,1,0.8]
precision
0.946296 [1,1,0.944444,0,1,0.75]
precision
0.948198 [1,1,0.932432,0,1,1]
precision
0.931616 [1,0.857143,0.931507,0,1,1]
precision
0.944928 [1,0.8,0.956522,0,1,1]
precision
0.9336 [1,0.875,0.931507,0,1,1]
precision
0.91363 [1,1,0.906667,0,1,0.666667]
precision
0.929386 [1,1,0.907895,0,1,1]
precision
0.926727 [1,1,0.918919,0,1,0.75]
precision
0.967293 [0,1,0.971831,0,1,1]
precision
0.927556 [0,1,0.92,0,1,1]
precision
0.91837 [0,1,0.906667,0,1,1]
precision
0.94688 [0,1,0.945205,0,1,1]
precision
0.936377 [1,1,0.931507,0,1,0.75]
precision
0.925309 [0,1,0.930556,0,1,0.75]
precision
0.886737 [0,0.833333,0.905405,0,1,0.75]
precision
0.897076 [1,0.8,0.894737,0,1,1]
precision
0.944365 [1,0.875,0.957143,0,1,0.8]
precision
0.927556 [0,1,0.92,0,1,1]
precision
0.943545 [1,0.875,0.943662,0,1,1]
precision
0.919775 [1,0.857143,0.930556,0,1,0.75]
precision
0.927628 [0,1,0.918919,0,1,1]
precision
0.8625 [0,0.666667,0.902778,0,1,0.666667]
precision
0.957991 [1,1,0.945205,0,1,1]
precision
0.9179 [0,1,0.917808,0,1,0.8]
precision
0.956944 [0,1,0.958333,0,1,1]
precision
0.943968 [1,0.857143,0.957143,0,1,0.8]
precision
0.909357 [0,1,0.894737,0,1,1]
precision
0.945383 [0,0.888889,0.957746,0,1,1]
precision
0.909357 [0,1,0.894737,0,1,1]
precision
0.927556 [0,1,0.92,0,1,1]
precision
0.951878 [0.5,1,0.943662,0,1,1]
precision
0.866618 [0.5,0.666667,0.881579,0,1,1]
precision
0.903704 [0,1,0.916667,0,1,0.5]
precision
0.94156 [1,0.857143,0.943662,0,1,1]
precision
0.927628 [0,1,0.918919,0,1,1]
precision
0.929012 [1,0.833333,0.930556,0,1,1]
precision
0.933977 [0,0.888889,0.943662,0,1,1]
precision
0.929012 [1,0.833333,0.930556,0,1,1]
precision
0.872063 [0.5,0.75,0.9,0,1,0.571429]
precision
0.938739 [1,1,0.918919,0,1,1]
precision
0.938739 [1,1,0.918919,0,1,1]
precision
0.958025 [1,1,0.944444,0,1,1]
precision
0.94825 [1,1,0.931507,0,1,1]
precision
0.938739 [1,1,0.918919,0,1,1]
precision
0.951878 [0.5,1,0.943662,0,1,1]
precision
0.91837 [0,1,0.906667,0,1,1]
precision
0.946322 [1,1,0.943662,0,1,0.75]
precision
0.895712 [1,1,0.881579,0,1,0.666667]
precision
0.938739 [1,1,0.918919,0,1,1]
precision
0.910681 [0,0.875,0.929577,0,1,0.75]
precision
0.872392 [1,0.666667,0.891892,0,1,0.8]
precision
0.927628 [0,1,0.918919,0,1,1]
precision
0.898942 [0,0.857143,0.916667,0,1,0.75]
precision
0.93642 [1,1,0.930556,0,1,0.75]
precision
0.938739 [1,1,0.918919,0,1,1]
precision
0.978413 [1,1,0.971429,0,1,1]
precision
0.929011 [1,1,0.917808,0,1,0.8]
precision
0.910883 [0.5,1,0.90411,0,1,0.75]
precision
0.898899 [0,0.833333,0.905405,0,1,1]
precision
0.938739 [1,1,0.918919,0,1,1]
precision
0.927628 [0,1,0.918919,0,1,1]
precision
0.931658 [1,0.857143,0.930556,0,1,1]
precision
0.938739 [1,1,0.918919,0,1,1]
precision
0.920504 [0,0.857143,0.931507,0,1,1]
precision
0.872392 [1,0.666667,0.891892,0,1,0.8]
precision
0.906306 [0,1,0.905405,0,1,0.75]
precision
0.885327 [0,0.8,0.90411,0,1,0.8]
precision
0.886809 [0,1,0.90411,0,1,0.333333]
precision
0.969211 [1,1,0.971014,0,1,0.8]
precision
0.948545 [1,1,0.943662,0,1,0.8]
precision
0.9386 [1,1,0.931507,0,1,0.8]
precision
0.938642 [1,1,0.930556,0,1,0.8]
precision
0.952736 [0,0.875,0.956522,0,1,1]
precision
0.892955 [0,0.8,0.905405,0,1,0.75]
precision
0.947668 [0,1,0.931507,0,1,1]
precision
0.947668 [0,1,0.931507,0,1,1]
precision
0.937953 [0,1,0.930556,0,1,0.8]
precision
0.928689 [0,1,0.906667,0,1,1]
precision
0.97855 [0,0.909091,0.985507,0,1,1]
precision
0.928689 [0,1,0.906667,0,1,1]
precision
0.935663 [0,1,0.931507,0,1,0.75]
precision
0.967716 [0,1,0.957746,0,1,1]
precision
0.967716 [0,1,0.957746,0,1,1]
precision
0.89592 [0,0.8,0.894737,0,1,1]
precision
0.938363 [0,1,0.942857,0,1,0.6]
precision
0.947668 [0,1,0.931507,0,1,1]
precision
0.930045 [0,0.833333,0.931507,0,1,1]
precision
0.967716 [0,1,0.957746,0,1,1]
precision
0.935663 [0,1,0.931507,0,1,0.75]
precision
0.965369 [0,0.888889,0.971014,0,1,1]
precision
0.977528 [0,0.9,0.985507,0,1,1]
precision
0.957553 [0,1,0.944444,0,1,1]
predictive_accuracy
0.911111
predictive_accuracy
0.933333
predictive_accuracy
0.955556
predictive_accuracy
0.955556
predictive_accuracy
0.966667
predictive_accuracy
0.944444
predictive_accuracy
0.911111
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.911111
predictive_accuracy
0.922222
predictive_accuracy
0.922222
predictive_accuracy
0.977778
predictive_accuracy
0.933333
predictive_accuracy
0.922222
predictive_accuracy
0.955556
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.922222
predictive_accuracy
0.933333
predictive_accuracy
0.877778
predictive_accuracy
0.955556
predictive_accuracy
0.922222
predictive_accuracy
0.966667
predictive_accuracy
0.944444
predictive_accuracy
0.911111
predictive_accuracy
0.955556
predictive_accuracy
0.911111
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.877778
predictive_accuracy
0.911111
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.866667
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.955556
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.944444
predictive_accuracy
0.922222
predictive_accuracy
0.944444
predictive_accuracy
0.888889
predictive_accuracy
0.933333
predictive_accuracy
0.922222
predictive_accuracy
0.888889
predictive_accuracy
0.933333
predictive_accuracy
0.911111
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.977778
predictive_accuracy
0.922222
predictive_accuracy
0.9
predictive_accuracy
0.911111
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.888889
predictive_accuracy
0.911111
predictive_accuracy
0.9
predictive_accuracy
0.9
predictive_accuracy
0.966667
predictive_accuracy
0.944444
predictive_accuracy
0.933333
predictive_accuracy
0.933333
predictive_accuracy
0.94382
predictive_accuracy
0.898876
predictive_accuracy
0.94382
predictive_accuracy
0.94382
predictive_accuracy
0.932584
predictive_accuracy
0.921348
predictive_accuracy
0.977528
predictive_accuracy
0.921348
predictive_accuracy
0.932584
predictive_accuracy
0.966292
predictive_accuracy
0.966292
predictive_accuracy
0.898876
predictive_accuracy
0.932584
predictive_accuracy
0.94382
predictive_accuracy
0.932584
predictive_accuracy
0.966292
predictive_accuracy
0.932584
predictive_accuracy
0.966292
predictive_accuracy
0.977528
predictive_accuracy
0.955056
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
prior_entropy
1.214875
recall
0.911111 [0,0.333333,0.985507,0,1,1]
recall
0.933333 [1,0.555556,0.985507,0,1,0.75]
recall
0.955556 [1,0.6,1,0,1,1]
recall
0.955556 [0,0.8,0.985507,0,1,1]
recall
0.966667 [1,0.8,1,0,1,0.75]
recall
0.944444 [1,0.5,1,0,1,1]
recall
0.911111 [1,0.3,1,0,1,0.75]
recall
0.944444 [1,0.7,0.971014,0,1,1]
recall
0.944444 [1,0.666667,0.985507,0,1,0.75]
recall
0.944444 [1,0.555556,1,0,1,0.75]
recall
0.933333 [1,0.6,0.985507,0,1,0.75]
recall
0.944444 [1,0.8,0.970588,0,1,0.75]
recall
0.933333 [1,0.7,0.985507,0,1,0.5]
recall
0.911111 [1,0.5,0.985507,0,1,0.5]
recall
0.922222 [1,0.4,1,0,1,0.75]
recall
0.922222 [1,0.5,0.985507,0,1,0.75]
recall
0.977778 [0,0.888889,1,0,1,1]
recall
0.933333 [0,0.6,1,0,1,0.75]
recall
0.922222 [0,0.5,1,0,1,0.75]
recall
0.955556 [0,0.7,1,0,1,1]
recall
0.933333 [1,0.6,0.985507,0,1,0.75]
recall
0.933333 [0,0.7,0.985294,0,1,0.75]
recall
0.9 [0,0.5,0.971014,0,1,0.75]
recall
0.9 [1,0.4,0.985507,0,1,0.5]
recall
0.944444 [1,0.7,0.971014,0,1,1]
recall
0.933333 [0,0.7,1,0,1,0.5]
recall
0.944444 [1,0.7,0.985294,0,1,0.75]
recall
0.922222 [1,0.6,0.971014,0,1,0.75]
recall
0.933333 [0,0.7,1,0,1,0.5]
recall
0.877778 [0,0.6,0.942029,0,1,0.5]
recall
0.955556 [1,0.7,1,0,1,0.75]
recall
0.922222 [0,0.5,0.985294,0,1,1]
recall
0.966667 [0,0.777778,1,0,1,1]
recall
0.944444 [1,0.666667,0.971014,0,1,1]
recall
0.911111 [0,0.5,1,0,1,0.5]
recall
0.955556 [0,0.888889,0.985507,0,1,0.75]
recall
0.911111 [0,0.5,1,0,1,0.5]
recall
0.933333 [0,0.555556,1,0,1,0.75]
recall
0.944444 [1,0.6,0.985294,0,1,1]
recall
0.877778 [1,0.2,0.971014,0,1,0.75]
recall
0.911111 [0,0.7,0.970588,0,1,0.5]
recall
0.944444 [1,0.6,0.985294,0,1,1]
recall
0.933333 [0,0.5,1,0,1,1]
recall
0.933333 [1,0.5,0.985294,0,1,1]
recall
0.944444 [0,0.8,0.985294,0,1,0.75]
recall
0.933333 [1,0.5,0.985294,0,1,1]
recall
0.866667 [1,0.3,0.926471,0,1,1]
recall
0.933333 [1,0.5,1,0,1,0.75]
recall
0.933333 [1,0.5,1,0,1,0.75]
recall
0.955556 [1,0.6,1,0,1,1]
recall
0.944444 [1,0.5,1,0,1,1]
recall
0.933333 [1,0.4,1,0,1,1]
recall
0.944444 [1,0.6,0.985294,0,1,1]
recall
0.922222 [0,0.5,1,0,1,0.75]
recall
0.944444 [1,0.7,0.985294,0,1,0.75]
recall
0.888889 [1,0.3,0.985294,0,1,0.5]
recall
0.933333 [1,0.6,1,0,1,0.5]
recall
0.922222 [0,0.7,0.970588,0,1,0.75]
recall
0.888889 [1,0.2,0.970588,0,1,1]
recall
0.933333 [0,0.7,1,0,1,0.5]
recall
0.911111 [0,0.6,0.970588,0,1,0.75]
recall
0.933333 [1,0.6,0.985294,0,1,0.75]
recall
0.933333 [1,0.6,1,0,1,0.5]
recall
0.977778 [1,0.8,1,0,1,1]
recall
0.922222 [1,0.4,0.985294,0,1,1]
recall
0.9 [1,0.4,0.970588,0,1,0.75]
recall
0.911111 [0,0.5,0.985294,0,1,0.75]
recall
0.933333 [1,0.6,1,0,1,0.5]
recall
0.933333 [0,0.6,1,0,1,0.75]
recall
0.933333 [1,0.6,0.985294,0,1,0.75]
recall
0.933333 [1,0.5,1,0,1,0.75]
recall
0.933333 [0,0.6,0.985507,0,1,1]
recall
0.888889 [1,0.2,0.970588,0,1,1]
recall
0.911111 [0,0.5,0.985294,0,1,0.75]
recall
0.9 [0,0.4,0.970588,0,1,1]
recall
0.9 [0,0.7,0.970588,0,1,0.25]
recall
0.966667 [1,0.8,0.985294,0,1,1]
recall
0.944444 [1,0.6,0.985294,0,1,1]
recall
0.933333 [1,0.5,0.985507,0,1,1]
recall
0.933333 [1,0.5,0.985294,0,1,1]
recall
0.94382 [0,0.7,0.970588,0,1,1]
recall
0.898876 [0,0.4,0.971014,0,1,0.75]
recall
0.94382 [0,0.6,1,0,1,0.75]
recall
0.94382 [0,0.5,1,0,1,1]
recall
0.932584 [0,0.5,0.985294,0,1,1]
recall
0.921348 [0,0.4,1,0,1,0.75]
recall
0.977528 [0,1,0.985507,0,1,0.75]
recall
0.921348 [0,0.4,1,0,1,0.75]
recall
0.932584 [0,0.6,0.985507,0,1,0.75]
recall
0.966292 [0,0.8,1,0,1,0.75]
recall
0.966292 [0,0.8,1,0,1,0.75]
recall
0.898876 [0,0.4,0.985507,0,1,0.5]
recall
0.932584 [0,0.7,0.970588,0,1,0.75]
recall
0.94382 [0,0.6,1,0,1,0.75]
recall
0.932584 [0,0.555556,0.985507,0,1,0.75]
recall
0.966292 [0,0.8,1,0,1,0.75]
recall
0.932584 [0,0.6,0.985507,0,1,0.75]
recall
0.966292 [0,0.8,0.985294,0,1,1]
recall
0.977528 [0,0.9,0.985507,0,1,1]
recall
0.955056 [0,0.6,1,0,1,1]
relative_absolute_error
0.21811
relative_absolute_error
0.197183
relative_absolute_error
0.193653
relative_absolute_error
0.173326
relative_absolute_error
0.130715
relative_absolute_error
0.118827
relative_absolute_error
0.290818
relative_absolute_error
0.195523
relative_absolute_error
0.175
relative_absolute_error
0.183309
relative_absolute_error
0.232233
relative_absolute_error
0.165533
relative_absolute_error
0.153071
relative_absolute_error
0.279762
relative_absolute_error
0.225117
relative_absolute_error
0.204795
relative_absolute_error
0.133379
relative_absolute_error
0.24175
relative_absolute_error
0.210019
relative_absolute_error
0.188082
relative_absolute_error
0.244574
relative_absolute_error
0.185509
relative_absolute_error
0.265845
relative_absolute_error
0.215871
relative_absolute_error
0.180721
relative_absolute_error
0.206591
relative_absolute_error
0.167065
relative_absolute_error
0.221423
relative_absolute_error
0.202782
relative_absolute_error
0.272361
relative_absolute_error
0.13998
relative_absolute_error
0.1982
relative_absolute_error
0.173158
relative_absolute_error
0.172971
relative_absolute_error
0.240021
relative_absolute_error
0.222633
relative_absolute_error
0.243644
relative_absolute_error
0.186089
relative_absolute_error
0.185517
relative_absolute_error
0.313919
relative_absolute_error
0.241841
relative_absolute_error
0.193686
relative_absolute_error
0.225472
relative_absolute_error
0.197321
relative_absolute_error
0.220918
relative_absolute_error
0.160107
relative_absolute_error
0.314454
relative_absolute_error
0.219254
relative_absolute_error
0.226358
relative_absolute_error
0.163561
relative_absolute_error
0.215476
relative_absolute_error
0.17735
relative_absolute_error
0.199166
relative_absolute_error
0.226374
relative_absolute_error
0.224539
relative_absolute_error
0.263569
relative_absolute_error
0.194548
relative_absolute_error
0.210928
relative_absolute_error
0.241981
relative_absolute_error
0.22727
relative_absolute_error
0.223652
relative_absolute_error
0.184624
relative_absolute_error
0.214576
relative_absolute_error
0.145549
relative_absolute_error
0.18731
relative_absolute_error
0.265413
relative_absolute_error
0.210072
relative_absolute_error
0.214598
relative_absolute_error
0.221723
relative_absolute_error
0.189539
relative_absolute_error
0.197328
relative_absolute_error
0.225109
relative_absolute_error
0.269975
relative_absolute_error
0.241837
relative_absolute_error
0.250003
relative_absolute_error
0.254388
relative_absolute_error
0.127359
relative_absolute_error
0.197318
relative_absolute_error
0.224192
relative_absolute_error
0.208235
relative_absolute_error
0.180357
relative_absolute_error
0.260015
relative_absolute_error
0.181245
relative_absolute_error
0.157002
relative_absolute_error
0.160764
relative_absolute_error
0.227015
relative_absolute_error
0.161847
relative_absolute_error
0.191504
relative_absolute_error
0.162912
relative_absolute_error
0.11033
relative_absolute_error
0.176641
relative_absolute_error
0.294762
relative_absolute_error
0.182237
relative_absolute_error
0.203666
relative_absolute_error
0.199817
relative_absolute_error
0.14866
relative_absolute_error
0.223862
relative_absolute_error
0.120632
relative_absolute_error
0.144456
relative_absolute_error
0.15515
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256345
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256089
root_mean_prior_squared_error
0.260978
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251998
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_prior_squared_error
0.251735
root_mean_prior_squared_error
0.256762
root_mean_squared_error
0.141737
root_mean_squared_error
0.124692
root_mean_squared_error
0.125247
root_mean_squared_error
0.114086
root_mean_squared_error
0.102532
root_mean_squared_error
0.095945
root_mean_squared_error
0.167561
root_mean_squared_error
0.121558
root_mean_squared_error
0.122286
root_mean_squared_error
0.125419
root_mean_squared_error
0.144668
root_mean_squared_error
0.115246
root_mean_squared_error
0.112821
root_mean_squared_error
0.154724
root_mean_squared_error
0.141889
root_mean_squared_error
0.12055
root_mean_squared_error
0.086493
root_mean_squared_error
0.156267
root_mean_squared_error
0.136577
root_mean_squared_error
0.121044
root_mean_squared_error
0.142552
root_mean_squared_error
0.120756
root_mean_squared_error
0.145572
root_mean_squared_error
0.141941
root_mean_squared_error
0.106119
root_mean_squared_error
0.121567
root_mean_squared_error
0.112087
root_mean_squared_error
0.13382
root_mean_squared_error
0.127497
root_mean_squared_error
0.154982
root_mean_squared_error
0.103735
root_mean_squared_error
0.119607
root_mean_squared_error
0.11006
root_mean_squared_error
0.112097
root_mean_squared_error
0.140201
root_mean_squared_error
0.123271
root_mean_squared_error
0.147922
root_mean_squared_error
0.125309
root_mean_squared_error
0.113687
root_mean_squared_error
0.162238
root_mean_squared_error
0.150287
root_mean_squared_error
0.130481
root_mean_squared_error
0.138041
root_mean_squared_error
0.128071
root_mean_squared_error
0.130784
root_mean_squared_error
0.114598
root_mean_squared_error
0.165807
root_mean_squared_error
0.131551
root_mean_squared_error
0.142413
root_mean_squared_error
0.107169
root_mean_squared_error
0.120529
root_mean_squared_error
0.121377
root_mean_squared_error
0.120479
root_mean_squared_error
0.145942
root_mean_squared_error
0.138615
root_mean_squared_error
0.149701
root_mean_squared_error
0.134589
root_mean_squared_error
0.14385
root_mean_squared_error
0.139365
root_mean_squared_error
0.142948
root_mean_squared_error
0.129636
root_mean_squared_error
0.116168
root_mean_squared_error
0.132386
root_mean_squared_error
0.101118
root_mean_squared_error
0.135307
root_mean_squared_error
0.155511
root_mean_squared_error
0.139784
root_mean_squared_error
0.127044
root_mean_squared_error
0.141158
root_mean_squared_error
0.12322
root_mean_squared_error
0.118486
root_mean_squared_error
0.138731
root_mean_squared_error
0.160024
root_mean_squared_error
0.143814
root_mean_squared_error
0.15047
root_mean_squared_error
0.146319
root_mean_squared_error
0.079571
root_mean_squared_error
0.118486
root_mean_squared_error
0.143799
root_mean_squared_error
0.130366
root_mean_squared_error
0.107254
root_mean_squared_error
0.15715
root_mean_squared_error
0.128146
root_mean_squared_error
0.116384
root_mean_squared_error
0.113059
root_mean_squared_error
0.126533
root_mean_squared_error
0.09997
root_mean_squared_error
0.126439
root_mean_squared_error
0.11736
root_mean_squared_error
0.090602
root_mean_squared_error
0.115453
root_mean_squared_error
0.147981
root_mean_squared_error
0.128321
root_mean_squared_error
0.118469
root_mean_squared_error
0.126135
root_mean_squared_error
0.117354
root_mean_squared_error
0.12935
root_mean_squared_error
0.08985
root_mean_squared_error
0.087425
root_mean_squared_error
0.112685
root_relative_squared_error
0.552916
root_relative_squared_error
0.486423
root_relative_squared_error
0.489076
root_relative_squared_error
0.445495
root_relative_squared_error
0.400377
root_relative_squared_error
0.374653
root_relative_squared_error
0.654307
root_relative_squared_error
0.47467
root_relative_squared_error
0.477036
root_relative_squared_error
0.48926
root_relative_squared_error
0.564911
root_relative_squared_error
0.441592
root_relative_squared_error
0.440553
root_relative_squared_error
0.60418
root_relative_squared_error
0.554063
root_relative_squared_error
0.470734
root_relative_squared_error
0.337409
root_relative_squared_error
0.610207
root_relative_squared_error
0.523328
root_relative_squared_error
0.472665
root_relative_squared_error
0.55665
root_relative_squared_error
0.462707
root_relative_squared_error
0.568443
root_relative_squared_error
0.554266
root_relative_squared_error
0.414384
root_relative_squared_error
0.474705
root_relative_squared_error
0.429487
root_relative_squared_error
0.522554
root_relative_squared_error
0.488537
root_relative_squared_error
0.605186
root_relative_squared_error
0.405072
root_relative_squared_error
0.458303
root_relative_squared_error
0.429343
root_relative_squared_error
0.437289
root_relative_squared_error
0.537215
root_relative_squared_error
0.480879
root_relative_squared_error
0.566801
root_relative_squared_error
0.488828
root_relative_squared_error
0.435618
root_relative_squared_error
0.633523
root_relative_squared_error
0.575863
root_relative_squared_error
0.499969
root_relative_squared_error
0.528936
root_relative_squared_error
0.490735
root_relative_squared_error
0.501132
root_relative_squared_error
0.439111
root_relative_squared_error
0.635329
root_relative_squared_error
0.50407
root_relative_squared_error
0.545689
root_relative_squared_error
0.410645
root_relative_squared_error
0.461835
root_relative_squared_error
0.465086
root_relative_squared_error
0.461646
root_relative_squared_error
0.559212
root_relative_squared_error
0.531137
root_relative_squared_error
0.573615
root_relative_squared_error
0.515709
root_relative_squared_error
0.551196
root_relative_squared_error
0.53401
root_relative_squared_error
0.547741
root_relative_squared_error
0.49673
root_relative_squared_error
0.445126
root_relative_squared_error
0.50727
root_relative_squared_error
0.387459
root_relative_squared_error
0.518463
root_relative_squared_error
0.595876
root_relative_squared_error
0.535616
root_relative_squared_error
0.486799
root_relative_squared_error
0.540881
root_relative_squared_error
0.472149
root_relative_squared_error
0.454006
root_relative_squared_error
0.54173
root_relative_squared_error
0.613171
root_relative_squared_error
0.551057
root_relative_squared_error
0.576562
root_relative_squared_error
0.560656
root_relative_squared_error
0.304897
root_relative_squared_error
0.454006
root_relative_squared_error
0.561518
root_relative_squared_error
0.499528
root_relative_squared_error
0.41772
root_relative_squared_error
0.624268
root_relative_squared_error
0.499084
root_relative_squared_error
0.453276
root_relative_squared_error
0.440326
root_relative_squared_error
0.492803
root_relative_squared_error
0.397124
root_relative_squared_error
0.492437
root_relative_squared_error
0.466204
root_relative_squared_error
0.352866
root_relative_squared_error
0.449651
root_relative_squared_error
0.587845
root_relative_squared_error
0.499768
root_relative_squared_error
0.461397
root_relative_squared_error
0.500538
root_relative_squared_error
0.457055
root_relative_squared_error
0.513834
root_relative_squared_error
0.349935
root_relative_squared_error
0.347289
root_relative_squared_error
0.438869
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
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total_cost
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total_cost
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usercpu_time_millis
40
usercpu_time_millis
60
usercpu_time_millis
50
usercpu_time_millis
30
usercpu_time_millis
30
usercpu_time_millis
30
usercpu_time_millis
30
usercpu_time_millis
40
usercpu_time_millis
40
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