573764
1
Jan van Rijn
14
Supervised Classification
1724
weka.REPTree(15)
2518
weka.classifiers.trees.REPTree -- -M 2 -V 1.0E-4 -N 3 -S 1 -L -1 -I 0.0
M
2
1724
V
1.0E-4
1724
N
3
1724
S
1
1724
L
-1
1724
I
0.0
1724
weka
weka_3.7.13
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
1978144
description
https://www.openml.org/data/download/1978144/weka_generated_run8950456666161124454.xml
-1
1978146
model_readable
https://www.openml.org/data/download/1978146/WekaModel_weka.classifiers.trees.REPTree6015828612251122295.model
-1
1978145
model_serialized
https://www.openml.org/data/download/1978145/WekaSerialized_weka.classifiers.trees.REPTree8279122536919549105.model
-1
1978147
predictions
https://www.openml.org/data/download/1978147/weka_generated_predictions8163240909500629957.arff
area_under_roc_curve
0.938377 [0.992533,0.90291,0.973264,0.929183,0.905286,0.942471,0.904833,0.956396,0.979344,0.897546]
average_cost
0
f_measure
0.750522 [0.972431,0.695,0.898263,0.767196,0.689487,0.784416,0.431694,0.838269,0.934343,0.494118]
kappa
0.724444
kb_relative_information_score
1492.604935
mean_absolute_error
0.061893
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
os_information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
precision
0.752329 [0.974874,0.695,0.891626,0.814607,0.674641,0.816216,0.475904,0.769874,0.943878,0.466667]
predictive_accuracy
0.752
prior_entropy
3.321928
recall
0.752 [0.97,0.695,0.905,0.725,0.705,0.755,0.395,0.92,0.925,0.525]
relative_absolute_error
0.34385
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.191671
root_relative_squared_error
0.638904
scimark_benchmark
1502.546115 [869.5117664575444, 1066.3834888045105, 531.0295670121254, 1226.6917124557929, 3819.1140408251504]
total_cost
0
usercpu_time_millis
140
usercpu_time_millis_testing
10
usercpu_time_millis_training
130
area_under_roc_curve
0.939611 [0.997222,0.923472,0.957917,0.877222,0.895972,0.989306,0.906806,0.95375,0.966111,0.928333]
area_under_roc_curve
0.941722 [0.970139,0.879583,0.966806,0.962361,0.905139,0.930278,0.921944,0.981944,0.985278,0.91375]
area_under_roc_curve
0.916736 [0.999861,0.86625,0.9375,0.919028,0.870833,0.944583,0.914722,0.844722,0.997222,0.872639]
area_under_roc_curve
0.93375 [0.996667,0.850972,0.987778,0.942917,0.894167,0.950278,0.891111,0.992222,0.971528,0.859861]
area_under_roc_curve
0.938639 [0.997222,0.937222,0.960694,0.977083,0.905,0.899167,0.945972,0.91625,0.995972,0.851806]
area_under_roc_curve
0.943917 [1,0.96625,0.978611,0.928056,0.87875,0.922778,0.930139,0.952361,0.993056,0.889167]
area_under_roc_curve
0.959069 [0.996667,0.949306,0.983056,0.93375,0.966111,0.959167,0.928889,0.975833,0.994583,0.903333]
area_under_roc_curve
0.928153 [0.968056,0.854444,0.988889,0.855556,0.856528,0.952222,0.913056,0.985139,0.965278,0.942361]
area_under_roc_curve
0.957542 [1,0.83,0.999167,0.996944,0.97375,0.947639,0.921944,0.990556,1,0.915417]
area_under_roc_curve
0.914681 [0.997222,0.957639,0.959583,0.841944,0.905278,0.920972,0.768056,0.989583,0.920278,0.88625]
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
0.76576 [0.97561,0.711111,0.85,0.705882,0.744186,0.894737,0.32,0.85,0.926829,0.679245]
f_measure
0.712939 [0.974359,0.648649,0.894737,0.744186,0.631579,0.705882,0.315789,0.808511,0.947368,0.458333]
f_measure
0.730014 [0.974359,0.636364,0.888889,0.722222,0.695652,0.755556,0.473684,0.756757,0.97561,0.421053]
f_measure
0.748499 [0.974359,0.648649,0.926829,0.818182,0.627451,0.764706,0.285714,0.923077,0.974359,0.541667]
f_measure
0.720571 [0.97561,0.648649,0.837209,0.85,0.666667,0.685714,0.387097,0.75,0.904762,0.5]
f_measure
0.790164 [0.97561,0.734694,0.947368,0.705882,0.705882,0.837209,0.666667,0.808511,0.974359,0.545455]
f_measure
0.769318 [0.947368,0.756757,0.923077,0.764706,0.695652,0.780488,0.484848,0.808511,0.923077,0.608696]
f_measure
0.75095 [0.95,0.666667,0.888889,0.736842,0.606061,0.820513,0.536585,0.851064,0.894737,0.55814]
f_measure
0.770157 [1,0.742857,0.95,0.878049,0.790698,0.789474,0.341463,0.909091,0.97561,0.324324]
f_measure
0.717302 [0.97561,0.744186,0.883721,0.705882,0.722222,0.789474,0.408163,0.930233,0.842105,0.171429]
kappa
0.755556
kappa
0.677778
kappa
0.7
kappa
0.727778
kappa
0.7
kappa
0.772222
kappa
0.744444
kappa
0.727778
kappa
0.75
kappa
0.688889
kb_relative_information_score
151.680828
kb_relative_information_score
146.414129
kb_relative_information_score
143.326329
kb_relative_information_score
149.972455
kb_relative_information_score
146.76966
kb_relative_information_score
153.259357
kb_relative_information_score
150.883148
kb_relative_information_score
146.559242
kb_relative_information_score
156.596939
kb_relative_information_score
147.142849
mean_absolute_error
0.061617
mean_absolute_error
0.065247
mean_absolute_error
0.065672
mean_absolute_error
0.059519
mean_absolute_error
0.063008
mean_absolute_error
0.056494
mean_absolute_error
0.060227
mean_absolute_error
0.066924
mean_absolute_error
0.055307
mean_absolute_error
0.064916
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.803984 [0.952381,0.64,0.85,0.857143,0.695652,0.944444,0.8,0.85,0.904762,0.545455]
precision
0.729968 [1,0.705882,0.944444,0.695652,0.666667,0.857143,0.333333,0.703704,1,0.392857]
precision
0.741157 [1,0.583333,1,0.8125,0.615385,0.68,0.5,0.823529,0.952381,0.444444]
precision
0.7717 [1,0.705882,0.904762,0.75,0.516129,0.928571,0.5,0.947368,1,0.464286]
precision
0.728536 [0.952381,0.705882,0.782609,0.85,0.684211,0.8,0.545455,0.642857,0.863636,0.458333]
precision
0.810234 [0.952381,0.62069,1,0.857143,0.857143,0.782609,0.636364,0.703704,1,0.692308]
precision
0.788168 [1,0.823529,0.947368,0.928571,0.615385,0.761905,0.615385,0.703704,0.947368,0.538462]
precision
0.761985 [0.95,0.75,0.8,0.777778,0.769231,0.842105,0.52381,0.740741,0.944444,0.521739]
precision
0.771826 [1,0.866667,0.95,0.857143,0.73913,0.833333,0.333333,0.833333,0.952381,0.352941]
precision
0.728038 [0.952381,0.695652,0.826087,0.857143,0.8125,0.833333,0.344828,0.869565,0.888889,0.2]
predictive_accuracy
0.78
predictive_accuracy
0.71
predictive_accuracy
0.73
predictive_accuracy
0.755
predictive_accuracy
0.73
predictive_accuracy
0.795
predictive_accuracy
0.77
predictive_accuracy
0.755
predictive_accuracy
0.775
predictive_accuracy
0.72
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
recall
0.78 [1,0.8,0.85,0.6,0.8,0.85,0.2,0.85,0.95,0.9]
recall
0.71 [0.95,0.6,0.85,0.8,0.6,0.6,0.3,0.95,0.9,0.55]
recall
0.73 [0.95,0.7,0.8,0.65,0.8,0.85,0.45,0.7,1,0.4]
recall
0.755 [0.95,0.6,0.95,0.9,0.8,0.65,0.2,0.9,0.95,0.65]
recall
0.73 [1,0.6,0.9,0.85,0.65,0.6,0.3,0.9,0.95,0.55]
recall
0.795 [1,0.9,0.9,0.6,0.6,0.9,0.7,0.95,0.95,0.45]
recall
0.77 [0.9,0.7,0.9,0.65,0.8,0.8,0.4,0.95,0.9,0.7]
recall
0.755 [0.95,0.6,1,0.7,0.5,0.8,0.55,1,0.85,0.6]
recall
0.775 [1,0.65,0.95,0.9,0.85,0.75,0.35,1,1,0.3]
recall
0.72 [1,0.8,0.95,0.6,0.65,0.75,0.5,1,0.8,0.15]
relative_absolute_error
0.342315
relative_absolute_error
0.362482
relative_absolute_error
0.364843
relative_absolute_error
0.330662
relative_absolute_error
0.350042
relative_absolute_error
0.313854
relative_absolute_error
0.334594
relative_absolute_error
0.371798
relative_absolute_error
0.307262
relative_absolute_error
0.360645
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.187293
root_mean_squared_error
0.199915
root_mean_squared_error
0.204711
root_mean_squared_error
0.193108
root_mean_squared_error
0.198898
root_mean_squared_error
0.179798
root_mean_squared_error
0.186019
root_mean_squared_error
0.194732
root_mean_squared_error
0.172194
root_mean_squared_error
0.197672
root_relative_squared_error
0.624311
root_relative_squared_error
0.666385
root_relative_squared_error
0.682369
root_relative_squared_error
0.643695
root_relative_squared_error
0.662993
root_relative_squared_error
0.599328
root_relative_squared_error
0.620063
root_relative_squared_error
0.649108
root_relative_squared_error
0.57398
root_relative_squared_error
0.658907
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
usercpu_time_millis
340
usercpu_time_millis
160
usercpu_time_millis
130
usercpu_time_millis
130
usercpu_time_millis
130
usercpu_time_millis
100
usercpu_time_millis
110
usercpu_time_millis
120
usercpu_time_millis
100
usercpu_time_millis
120
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_training
330
usercpu_time_millis_training
160
usercpu_time_millis_training
120
usercpu_time_millis_training
130
usercpu_time_millis_training
130
usercpu_time_millis_training
100
usercpu_time_millis_training
110
usercpu_time_millis_training
120
usercpu_time_millis_training
100
usercpu_time_millis_training
110