571848
64
Rafael Gomes Mantovani
14967
Supervised Classification
3669
classif.naiveBayes(9)
6120
openml.seed
1
3669
openml.kind
Mersenne-Twister
3669
openml.normal.kind
Inversion
3669
defaults
mlr
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
1973206
description
https://www.openml.org/data/download/1973206/file233012074663.xml
-1
1973207
predictions
https://www.openml.org/data/download/1973207/file233026c4a607.arff
area_under_roc_curve
0.659059 [0.744172,0.506557,0.836836,0.503579,0.651371,0.530314]
average_cost
0
f_measure
0.360485 [0.525122,0.03352,0.709281,0.019157,0.400922,0.131148]
kappa
0.314348
kb_relative_information_score
992.382428
mean_absolute_error
0.181688
mean_prior_absolute_error
0.27288
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.43514 [0.381176,0.352941,0.609293,0.454545,0.38326,0.26087]
predictive_accuracy
0.454936
prior_entropy
2.520663
recall
0.454936 [0.84375,0.017595,0.848529,0.009785,0.42029,0.087591]
relative_absolute_error
0.665817
root_mean_prior_squared_error
0.369371
root_mean_squared_error
0.426249
root_relative_squared_error
1.153987
total_cost
0
usercpu_time_millis
3.78200000000001
usercpu_time_millis_testing
3.398
usercpu_time_millis_training
0.384000000000004
area_under_roc_curve
0.697928 [0.762038,0.5,0.980577,0.507621,0.660935,0.519841]
area_under_roc_curve
0.52745 [0.550016,0.5,0.507353,0.497817,0.593683,0.519841]
area_under_roc_curve
0.689298 [0.926841,0.497967,0.783713,0.5,0.717369,0.503968]
area_under_roc_curve
0.685005 [0.762426,0.497967,0.947281,0.5,0.634452,0.525794]
area_under_roc_curve
0.664017 [0.834887,0.5,0.833796,0.507422,0.565466,0.527156]
area_under_roc_curve
0.550799 [0.508621,0.526531,0.579079,0.497817,0.64527,0.558264]
area_under_roc_curve
0.710983 [0.755216,0.527371,0.973202,0.509804,0.759644,0.492725]
area_under_roc_curve
0.6887 [0.856093,0.52533,0.870818,0.5,0.618746,0.547619]
area_under_roc_curve
0.691626 [0.764699,0.495918,0.92769,0.5,0.696504,0.543651]
area_under_roc_curve
0.685762 [0.724158,0.493878,0.965849,0.515222,0.6195,0.566138]
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
0.423139 [0.528302,0,0.970588,0.037736,0.413793,0.105263]
f_measure
0.13728 [0.361702,0,0.028986,0,0.305882,0.105263]
f_measure
0.393534 [0.820896,0,0.610837,0,0.475248,0.055556]
f_measure
0.392232 [0.531401,0,0.890411,0,0.372093,0.114286]
f_measure
0.350974 [0.635294,0,0.673684,0.037037,0.25641,0.117647]
f_measure
0.203637 [0.033898,0.105263,0.42953,0,0.405405,0.205128]
f_measure
0.454257 [0.519231,0.108108,0.962963,0.038462,0.588235,0.04878]
f_measure
0.395176 [0.647399,0.105263,0.741176,0,0.347826,0.176471]
f_measure
0.405714 [0.536082,0,0.863014,0,0.463158,0.166667]
f_measure
0.421583 [0.490566,0,0.955224,0.072727,0.352941,0.228571]
kappa
0.386985
kappa
0.056404
kappa
0.377718
kappa
0.362606
kappa
0.324897
kappa
0.107592
kappa
0.413725
kappa
0.373165
kappa
0.376421
kappa
0.362952
kb_relative_information_score
114.850609
kb_relative_information_score
39.673137
kb_relative_information_score
114.571167
kb_relative_information_score
109.387236
kb_relative_information_score
101.304909
kb_relative_information_score
56.583469
kb_relative_information_score
121.370783
kb_relative_information_score
112.529411
kb_relative_information_score
112.936032
kb_relative_information_score
109.175675
mean_absolute_error
0.163095
mean_absolute_error
0.253571
mean_absolute_error
0.164286
mean_absolute_error
0.169048
mean_absolute_error
0.177381
mean_absolute_error
0.230952
mean_absolute_error
0.156511
mean_absolute_error
0.166069
mean_absolute_error
0.166069
mean_absolute_error
0.169654
mean_prior_absolute_error
0.272905
mean_prior_absolute_error
0.272905
mean_prior_absolute_error
0.272905
mean_prior_absolute_error
0.272905
mean_prior_absolute_error
0.272804
mean_prior_absolute_error
0.272877
mean_prior_absolute_error
0.272875
mean_prior_absolute_error
0.272875
mean_prior_absolute_error
0.272875
mean_prior_absolute_error
0.272875
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
precision
0.479409 [0.363636,0,0.970588,0.5,0.391304,0.2]
precision
0.353282 [0.227679,0,1,0,0.295455,0.2]
precision
0.332512 [0.723684,0,0.459259,0,0.4,0.125]
precision
0.359478 [0.369128,0,0.833333,0,0.355556,0.285714]
precision
0.387256 [0.482143,0,0.52459,0.5,0.27027,0.285714]
precision
0.456755 [1,0.666667,0.278261,0,0.454545,0.333333]
precision
0.667986 [0.357616,0.666667,0.970149,1,0.581395,0.071429]
precision
0.399744 [0.482759,0.5,0.617647,0,0.32,0.428571]
precision
0.369147 [0.379562,0,0.807692,0,0.415094,0.333333]
precision
0.49718 [0.335484,0,0.969697,0.5,0.348837,0.5]
predictive_accuracy
0.510714
predictive_accuracy
0.239286
predictive_accuracy
0.507143
predictive_accuracy
0.492857
predictive_accuracy
0.467857
predictive_accuracy
0.307143
predictive_accuracy
0.530466
predictive_accuracy
0.501792
predictive_accuracy
0.501792
predictive_accuracy
0.491039
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
prior_entropy
2.520663
recall
0.510714 [0.965517,0,0.970588,0.019608,0.439024,0.071429]
recall
0.239286 [0.87931,0,0.014706,0,0.317073,0.071429]
recall
0.507143 [0.948276,0,0.911765,0,0.585366,0.035714]
recall
0.492857 [0.948276,0,0.955882,0,0.390244,0.071429]
recall
0.467857 [0.931034,0,0.941176,0.019231,0.243902,0.074074]
recall
0.307143 [0.017241,0.057143,0.941176,0,0.365854,0.148148]
recall
0.530466 [0.947368,0.058824,0.955882,0.019608,0.595238,0.037037]
recall
0.501792 [0.982456,0.058824,0.926471,0,0.380952,0.111111]
recall
0.501792 [0.912281,0,0.926471,0,0.52381,0.111111]
recall
0.491039 [0.912281,0,0.941176,0.039216,0.357143,0.148148]
relative_absolute_error
0.597626
relative_absolute_error
0.929156
relative_absolute_error
0.601989
relative_absolute_error
0.619438
relative_absolute_error
0.650213
relative_absolute_error
0.846362
relative_absolute_error
0.573565
relative_absolute_error
0.608592
relative_absolute_error
0.608592
relative_absolute_error
0.621727
root_mean_prior_squared_error
0.369405
root_mean_prior_squared_error
0.369405
root_mean_prior_squared_error
0.369405
root_mean_prior_squared_error
0.369405
root_mean_prior_squared_error
0.369268
root_mean_prior_squared_error
0.369366
root_mean_prior_squared_error
0.369364
root_mean_prior_squared_error
0.369364
root_mean_prior_squared_error
0.369364
root_mean_prior_squared_error
0.369364
root_mean_squared_error
0.403851
root_mean_squared_error
0.503559
root_mean_squared_error
0.405322
root_mean_squared_error
0.411154
root_mean_squared_error
0.421166
root_mean_squared_error
0.480575
root_mean_squared_error
0.395615
root_mean_squared_error
0.407516
root_mean_squared_error
0.407516
root_mean_squared_error
0.41189
root_relative_squared_error
1.093247
root_relative_squared_error
1.363163
root_relative_squared_error
1.09723
root_relative_squared_error
1.113018
root_relative_squared_error
1.140543
root_relative_squared_error
1.301081
root_relative_squared_error
1.071072
root_relative_squared_error
1.103292
root_relative_squared_error
1.103292
root_relative_squared_error
1.115135
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