573468
1
Jan van Rijn
14
Supervised Classification
1727
weka.LMT(4)
2370
weka.classifiers.trees.LMT -- -I -1 -M 15 -W 0.0
I
-1
1727
M
15
1727
W
0.0
1727
study_70
weka
weka_3.7.13
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
1976956
description
https://www.openml.org/data/download/1976956/weka_generated_run2223814550034014035.xml
-1
1976958
model_readable
https://www.openml.org/data/download/1976958/WekaModel_weka.classifiers.trees.LMT6785270254119387888.model
-1
1976957
model_serialized
https://www.openml.org/data/download/1976957/WekaSerialized_weka.classifiers.trees.LMT2416568279532686872.model
-1
1976959
predictions
https://www.openml.org/data/download/1976959/weka_generated_predictions3258073055563317699.arff
area_under_roc_curve
0.976169 [1,0.956792,0.988754,0.984939,0.964646,0.987189,0.945008,0.987703,0.996503,0.950161]
average_cost
0
f_measure
0.831039 [0.997494,0.77193,0.910941,0.876574,0.801008,0.912718,0.59596,0.866667,0.972569,0.604534]
kappa
0.812778
kb_relative_information_score
1682.95264
mean_absolute_error
0.039828
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
0.831073 [1,0.773869,0.927461,0.883249,0.807107,0.910448,0.602041,0.827273,0.970149,0.609137]
predictive_accuracy
0.8315
prior_entropy
3.321928
recall
0.8315 [0.995,0.77,0.895,0.87,0.795,0.915,0.59,0.91,0.975,0.6]
relative_absolute_error
0.221267
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.157211
root_relative_squared_error
0.524038
scimark_benchmark
1477.5784 [917.5384634398796, 994.5574234838709, 600.191058353312, 1364.6225896899416, 3510.9824662080687]
total_cost
0
usercpu_time_millis
18740
usercpu_time_millis_testing
20
usercpu_time_millis_training
18720
area_under_roc_curve
0.986083 [1,0.983056,0.998333,0.993056,0.992778,1,0.961389,0.971111,1,0.961111]
area_under_roc_curve
0.981681 [1,0.968056,0.990833,0.987778,0.985278,0.96875,0.963889,0.991389,0.999722,0.961111]
area_under_roc_curve
0.975083 [1,0.969722,0.9975,0.966111,0.979444,0.992222,0.904444,0.989722,1,0.951667]
area_under_roc_curve
0.990583 [1,0.986667,0.996944,0.998889,0.992222,0.994444,0.983333,0.996111,0.999167,0.958056]
area_under_roc_curve
0.972097 [1,0.960833,0.970417,0.971111,0.960972,0.960694,0.958333,0.995833,1,0.942778]
area_under_roc_curve
0.981611 [1,0.961111,0.999167,0.987778,0.965,0.996667,0.959722,0.989722,1,0.956944]
area_under_roc_curve
0.982556 [1,0.979444,0.988056,0.996944,0.973611,0.995556,0.961111,0.994167,0.999722,0.936944]
area_under_roc_curve
0.972833 [1,0.941806,0.9975,0.995,0.942778,0.993611,0.924167,0.993333,0.972083,0.968056]
area_under_roc_curve
0.964847 [1,0.890278,0.999167,0.995556,0.943611,0.990278,0.920417,0.99,1,0.919167]
area_under_roc_curve
0.971403 [1,0.953194,0.964861,0.996389,0.936389,0.998611,0.92625,0.985556,0.998611,0.954167]
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
0.848341 [0.974359,0.883721,0.926829,0.918919,0.857143,1,0.590909,0.864865,0.952381,0.514286]
f_measure
0.81495 [1,0.769231,0.864865,0.9,0.756757,0.857143,0.564103,0.857143,0.97561,0.604651]
f_measure
0.781496 [1,0.761905,0.871795,0.789474,0.765957,0.878049,0.52381,0.777778,0.97561,0.470588]
f_measure
0.885263 [1,0.842105,0.974359,0.930233,0.8,0.894737,0.8,0.9,0.974359,0.736842]
f_measure
0.796769 [1,0.731707,0.918919,0.780488,0.789474,0.8,0.564103,0.837209,0.974359,0.571429]
f_measure
0.830344 [1,0.684211,0.926829,0.829268,0.833333,0.930233,0.619048,0.909091,1,0.571429]
f_measure
0.80735 [1,0.736842,0.871795,0.926829,0.820513,0.9,0.536585,0.844444,0.95,0.486486]
f_measure
0.874102 [1,0.75,0.923077,0.95,0.871795,0.95,0.684211,0.930233,0.95,0.731707]
f_measure
0.842053 [1,0.777778,0.95,0.904762,0.789474,0.947368,0.529412,0.869565,1,0.652174]
f_measure
0.82016 [1,0.772727,0.878049,0.823529,0.722222,0.974359,0.540541,0.863636,0.974359,0.652174]
kappa
0.833333
kappa
0.794444
kappa
0.761111
kappa
0.872222
kappa
0.772222
kappa
0.816667
kappa
0.788889
kappa
0.861111
kappa
0.827778
kappa
0.8
kb_relative_information_score
174.464879
kb_relative_information_score
166.8809
kb_relative_information_score
161.877488
kb_relative_information_score
174.337472
kb_relative_information_score
164.854624
kb_relative_information_score
168.381361
kb_relative_information_score
165.634923
kb_relative_information_score
171.420989
kb_relative_information_score
168.323097
kb_relative_information_score
166.776909
mean_absolute_error
0.031411
mean_absolute_error
0.040071
mean_absolute_error
0.049329
mean_absolute_error
0.035464
mean_absolute_error
0.042671
mean_absolute_error
0.040602
mean_absolute_error
0.044321
mean_absolute_error
0.036818
mean_absolute_error
0.037604
mean_absolute_error
0.039991
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
0.854096 [1,0.826087,0.904762,1,0.818182,1,0.541667,0.941176,0.909091,0.6]
precision
0.818709 [1,0.789474,0.941176,0.9,0.823529,0.818182,0.578947,0.818182,0.952381,0.565217]
precision
0.787796 [1,0.727273,0.894737,0.833333,0.666667,0.857143,0.5,0.875,0.952381,0.571429]
precision
0.890068 [1,0.888889,1,0.869565,0.72,0.944444,0.8,0.9,1,0.777778]
precision
0.801653 [1,0.714286,1,0.761905,0.833333,0.8,0.578947,0.782609,1,0.545455]
precision
0.833448 [1,0.722222,0.904762,0.809524,0.9375,0.869565,0.590909,0.833333,1,0.666667]
precision
0.80826 [1,0.777778,0.894737,0.904762,0.842105,0.9,0.52381,0.76,0.95,0.529412]
precision
0.874818 [1,0.75,0.947368,0.95,0.894737,0.95,0.722222,0.869565,0.95,0.714286]
precision
0.851098 [1,0.875,0.95,0.863636,0.833333,1,0.642857,0.769231,1,0.576923]
precision
0.83348 [1,0.708333,0.857143,1,0.8125,1,0.588235,0.791667,1,0.576923]
predictive_accuracy
0.85
predictive_accuracy
0.815
predictive_accuracy
0.785
predictive_accuracy
0.885
predictive_accuracy
0.795
predictive_accuracy
0.835
predictive_accuracy
0.81
predictive_accuracy
0.875
predictive_accuracy
0.845
predictive_accuracy
0.82
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
0.85 [0.95,0.95,0.95,0.85,0.9,1,0.65,0.8,1,0.45]
recall
0.815 [1,0.75,0.8,0.9,0.7,0.9,0.55,0.9,1,0.65]
recall
0.785 [1,0.8,0.85,0.75,0.9,0.9,0.55,0.7,1,0.4]
recall
0.885 [1,0.8,0.95,1,0.9,0.85,0.8,0.9,0.95,0.7]
recall
0.795 [1,0.75,0.85,0.8,0.75,0.8,0.55,0.9,0.95,0.6]
recall
0.835 [1,0.65,0.95,0.85,0.75,1,0.65,1,1,0.5]
recall
0.81 [1,0.7,0.85,0.95,0.8,0.9,0.55,0.95,0.95,0.45]
recall
0.875 [1,0.75,0.9,0.95,0.85,0.95,0.65,1,0.95,0.75]
recall
0.845 [1,0.7,0.95,0.95,0.75,0.9,0.45,1,1,0.75]
recall
0.82 [1,0.85,0.9,0.7,0.65,0.95,0.5,0.95,0.95,0.75]
relative_absolute_error
0.174503
relative_absolute_error
0.222619
relative_absolute_error
0.274051
relative_absolute_error
0.197023
relative_absolute_error
0.237061
relative_absolute_error
0.225566
relative_absolute_error
0.246226
relative_absolute_error
0.204547
relative_absolute_error
0.208909
relative_absolute_error
0.22217
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
0.146326
root_mean_squared_error
0.165239
root_mean_squared_error
0.164899
root_mean_squared_error
0.134718
root_mean_squared_error
0.169518
root_mean_squared_error
0.155829
root_mean_squared_error
0.159233
root_mean_squared_error
0.149255
root_mean_squared_error
0.158624
root_mean_squared_error
0.165183
root_relative_squared_error
0.487753
root_relative_squared_error
0.550796
root_relative_squared_error
0.549664
root_relative_squared_error
0.449061
root_relative_squared_error
0.565061
root_relative_squared_error
0.519431
root_relative_squared_error
0.530777
root_relative_squared_error
0.497516
root_relative_squared_error
0.528748
root_relative_squared_error
0.550611
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
15240
usercpu_time_millis
13450
usercpu_time_millis
16880
usercpu_time_millis
11050
usercpu_time_millis
13290
usercpu_time_millis
11980
usercpu_time_millis
23020
usercpu_time_millis
8910
usercpu_time_millis
21350
usercpu_time_millis
14270
usercpu_time_millis_testing
10
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_testing
0
usercpu_time_millis_training
15230
usercpu_time_millis_training
13440
usercpu_time_millis_training
16880
usercpu_time_millis_training
11050
usercpu_time_millis_training
13290
usercpu_time_millis_training
11980
usercpu_time_millis_training
23020
usercpu_time_millis_training
8910
usercpu_time_millis_training
21340
usercpu_time_millis_training
14270