9143
2
Joaquin Vanschoren
32
Supervised Classification
126
weka.SimpleLogistic(1)
51
weka.classifiers.functions.SimpleLogistic -- -I 0 -M 500 -H 50 -W 0.0
H
50
126
I
0
126
M
500
126
W
0.0
126
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
18631
description
https://www.openml.org/data/download/18631/weka_generated_run5185830361048403050.xml
-1
18632
predictions
https://www.openml.org/data/download/18632/weka_generated_predictions5729003195049510903.arff
area_under_roc_curve
0.997613 [0.995334,0.997377,0.999501,0.997739,0.999797,0.995795,0.999403,0.998706,0.995303,0.996951]
average_cost
0
f_measure
0.954055 [0.954104,0.938581,0.977778,0.973535,0.98951,0.911947,0.990071,0.956599,0.913147,0.931326]
kappa
0.948944
kb_relative_information_score
10387.917382
mean_absolute_error
0.016242
mean_prior_absolute_error
0.179968
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.954136 [0.9626,0.928144,0.974805,0.970782,0.98951,0.91587,0.988669,0.967742,0.914449,0.92437]
predictive_accuracy
0.954057
prior_entropy
3.320774
recall
0.954057 [0.945757,0.949256,0.980769,0.976303,0.98951,0.908057,0.991477,0.945709,0.911848,0.938389]
relative_absolute_error
0.090251
root_mean_prior_squared_error
0.299973
root_mean_squared_error
0.084818
root_relative_squared_error
0.282753
total_cost
0
area_under_roc_curve
0.998405 [0.997749,0.998408,0.999806,0.998698,0.999964,0.996985,1,0.998808,0.996821,0.996593]
area_under_roc_curve
0.99622 [0.983514,0.997553,0.998411,0.999139,0.999947,0.994458,1,0.998292,0.993708,0.997542]
area_under_roc_curve
0.997149 [0.997738,0.997667,0.999072,0.996627,0.999982,0.992886,1,0.999496,0.996426,0.990908]
area_under_roc_curve
0.997491 [0.998967,0.994353,0.99927,0.998596,0.999965,0.996038,0.994946,0.999116,0.995478,0.997825]
area_under_roc_curve
0.997995 [0.99609,0.999655,0.999973,0.999601,0.99985,0.99543,0.999952,0.999065,0.991731,0.99818]
area_under_roc_curve
0.997646 [0.991451,0.998789,0.999911,0.999914,0.999373,0.995877,0.99999,0.997765,0.995085,0.998352]
area_under_roc_curve
0.998153 [0.994973,0.998691,0.999955,0.999743,0.999452,0.997245,0.999981,0.99894,0.994539,0.997863]
area_under_roc_curve
0.998121 [0.997373,0.996473,0.999813,0.999962,0.999893,0.995335,0.999914,0.999483,0.994927,0.997854]
area_under_roc_curve
0.996986 [0.996963,0.997791,0.999804,0.987022,0.999831,0.995104,0.999829,0.99845,0.99638,0.998071]
area_under_roc_curve
0.998346 [0.999003,0.996099,0.999585,0.99908,0.999733,0.998237,0.999895,0.998165,0.997235,0.996361]
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
0.960954 [0.955752,0.953191,0.987013,0.985646,0.99115,0.92381,1,0.951542,0.933333,0.925234]
f_measure
0.942923 [0.9375,0.93617,0.969432,0.980769,0.982456,0.880383,0.995305,0.932127,0.886878,0.924528]
f_measure
0.954486 [0.947826,0.927039,0.982759,0.967136,0.99115,0.912621,1,0.964602,0.909091,0.938967]
f_measure
0.950977 [0.960352,0.904348,0.973451,0.953271,0.991228,0.915888,0.990476,0.951542,0.937799,0.929577]
f_measure
0.957067 [0.96,0.960699,0.982759,0.976303,0.995633,0.90566,0.990476,0.965517,0.892157,0.934579]
f_measure
0.954537 [0.941704,0.944206,0.977974,0.985915,0.982906,0.925234,0.985646,0.946429,0.906542,0.94686]
f_measure
0.956313 [0.951965,0.943723,0.986784,0.962963,0.991304,0.92233,0.990566,0.959641,0.919431,0.929577]
f_measure
0.959726 [0.978355,0.938596,0.973913,0.985782,0.9869,0.897561,0.985915,0.965217,0.94686,0.934579]
f_measure
0.948152 [0.933333,0.940171,0.978355,0.981132,0.991304,0.894231,0.985782,0.963636,0.878505,0.929577]
f_measure
0.955375 [0.973451,0.9375,0.965217,0.956938,0.991228,0.940092,0.976744,0.964912,0.923077,0.920188]
kappa
0.956558
kappa
0.936356
kappa
0.949438
kappa
0.945397
kappa
0.952472
kappa
0.94944
kappa
0.951464
kappa
0.955506
kappa
0.942363
kappa
0.950454
kb_relative_information_score
1040.906148
kb_relative_information_score
1030.692492
kb_relative_information_score
1043.105737
kb_relative_information_score
1037.837561
kb_relative_information_score
1038.750729
kb_relative_information_score
1039.636261
kb_relative_information_score
1041.017794
kb_relative_information_score
1042.764658
kb_relative_information_score
1034.20053
kb_relative_information_score
1039.005471
mean_absolute_error
0.01606
mean_absolute_error
0.017392
mean_absolute_error
0.015119
mean_absolute_error
0.015703
mean_absolute_error
0.016732
mean_absolute_error
0.015763
mean_absolute_error
0.016132
mean_absolute_error
0.015804
mean_absolute_error
0.017286
mean_absolute_error
0.016432
mean_prior_absolute_error
0.179968
mean_prior_absolute_error
0.179968
mean_prior_absolute_error
0.179966
mean_prior_absolute_error
0.179966
mean_prior_absolute_error
0.179967
mean_prior_absolute_error
0.179967
mean_prior_absolute_error
0.179969
mean_prior_absolute_error
0.17997
mean_prior_absolute_error
0.17997
mean_prior_absolute_error
0.179969
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1099 [115,114,115,105,114,105,105,115,105,106]
number_of_instances
1099 [114,115,114,105,115,106,105,115,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,114,114,106,115,106,106,114,105,105]
number_of_instances
1099 [114,114,114,106,114,106,106,114,106,105]
number_of_instances
1099 [114,114,114,106,114,105,106,114,106,106]
number_of_instances
1099 [114,114,115,105,114,105,106,114,106,106]
precision
0.961297 [0.972973,0.92562,0.982759,0.990385,1,0.92381,1,0.955752,0.942308,0.916667]
precision
0.943939 [0.963303,0.909091,0.973684,0.990291,0.982456,0.884615,0.990654,0.962617,0.852174,0.924528]
precision
0.954761 [0.947826,0.907563,0.974359,0.953704,1,0.930693,1,0.981982,0.913462,0.934579]
precision
0.951279 [0.964602,0.904348,0.982143,0.93578,1,0.907407,0.990476,0.964286,0.942308,0.916667]
precision
0.957279 [0.972973,0.964912,0.966102,0.980952,1,0.90566,0.990476,0.949153,0.919192,0.917431]
precision
0.95495 [0.963303,0.932203,0.982301,0.981308,0.966387,0.916667,0.990385,0.963636,0.889908,0.960784]
precision
0.956697 [0.947826,0.931624,0.99115,0.945455,0.991304,0.95,0.990566,0.981651,0.915094,0.916667]
precision
0.959937 [0.965812,0.938596,0.965517,0.990476,0.982609,0.929293,0.981308,0.956897,0.970297,0.917431]
precision
0.948685 [0.945946,0.916667,0.965812,0.981132,0.982759,0.902913,0.990476,1,0.87037,0.925234]
precision
0.955712 [0.982143,0.954545,0.965217,0.961538,0.991228,0.910714,0.963303,0.964912,0.941176,0.915888]
predictive_accuracy
0.960909
predictive_accuracy
0.942727
predictive_accuracy
0.954504
predictive_accuracy
0.950864
predictive_accuracy
0.957234
predictive_accuracy
0.954504
predictive_accuracy
0.956324
predictive_accuracy
0.959964
predictive_accuracy
0.948135
predictive_accuracy
0.955414
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
prior_entropy
3.320774
recall
0.960909 [0.93913,0.982456,0.991304,0.980952,0.982456,0.92381,1,0.947368,0.924528,0.933962]
recall
0.942727 [0.913043,0.964912,0.965217,0.971429,0.982456,0.87619,1,0.903509,0.924528,0.924528]
recall
0.954504 [0.947826,0.947368,0.991304,0.980952,0.982456,0.895238,1,0.947826,0.904762,0.943396]
recall
0.950864 [0.95614,0.904348,0.964912,0.971429,0.982609,0.924528,0.990476,0.93913,0.933333,0.942857]
recall
0.957234 [0.947368,0.956522,1,0.971698,0.991304,0.90566,0.990476,0.982456,0.866667,0.952381]
recall
0.954504 [0.921053,0.956522,0.973684,0.990566,1,0.933962,0.980952,0.929825,0.92381,0.933333]
recall
0.956324 [0.95614,0.95614,0.982456,0.981132,0.991304,0.896226,0.990566,0.938596,0.92381,0.942857]
recall
0.959964 [0.991228,0.938596,0.982456,0.981132,0.991228,0.867925,0.990566,0.973684,0.924528,0.952381]
recall
0.948135 [0.921053,0.964912,0.991228,0.981132,1,0.885714,0.981132,0.929825,0.886792,0.933962]
recall
0.955414 [0.964912,0.921053,0.965217,0.952381,0.991228,0.971429,0.990566,0.964912,0.90566,0.924528]
relative_absolute_error
0.089236
relative_absolute_error
0.096639
relative_absolute_error
0.084008
relative_absolute_error
0.087255
relative_absolute_error
0.09297
relative_absolute_error
0.087588
relative_absolute_error
0.089636
relative_absolute_error
0.087813
relative_absolute_error
0.096049
relative_absolute_error
0.091306
root_mean_prior_squared_error
0.299973
root_mean_prior_squared_error
0.299973
root_mean_prior_squared_error
0.29997
root_mean_prior_squared_error
0.29997
root_mean_prior_squared_error
0.299972
root_mean_prior_squared_error
0.299972
root_mean_prior_squared_error
0.299974
root_mean_prior_squared_error
0.299977
root_mean_prior_squared_error
0.299977
root_mean_prior_squared_error
0.299974
root_mean_squared_error
0.082918
root_mean_squared_error
0.092934
root_mean_squared_error
0.081837
root_mean_squared_error
0.0864
root_mean_squared_error
0.083616
root_mean_squared_error
0.084572
root_mean_squared_error
0.082718
root_mean_squared_error
0.080312
root_mean_squared_error
0.087664
root_mean_squared_error
0.084527
root_relative_squared_error
0.276417
root_relative_squared_error
0.309806
root_relative_squared_error
0.272818
root_relative_squared_error
0.288029
root_relative_squared_error
0.278746
root_relative_squared_error
0.281934
root_relative_squared_error
0.27575
root_relative_squared_error
0.267728
root_relative_squared_error
0.292237
root_relative_squared_error
0.281781
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