233932
2
Joaquin Vanschoren
2065
Supervised Classification
predictive_accuracy
1200
weka.LADTree(4)
2070
weka.classifiers.trees.LADTree -- -B 10
B
10
1200
study_1
weka
weka_3.7.12
171
primary-tumor
https://www.openml.org/data/download/3594/dataset_113_primary-tumor.arff
-1
779216
description
https://api.openml.org/data/download/779216/weka_generated_run1971908527385112021.xml
-1
779219
model_readable
https://api.openml.org/data/download/779219/WekaModel_weka.classifiers.trees.LADTree40993107285257198.model
-1
779218
model_serialized
https://api.openml.org/data/download/779218/WekaSerialized_weka.classifiers.trees.LADTree3928903745040143728.model
-1
779217
predictions
https://api.openml.org/data/download/779217/weka_generated_predictions1297254328329083860.arff
area_under_roc_curve
0.80095 [0.832726,0.982524,0.575589,0.844615,0.681752,0.060651,0.707033,0.646146,0.0,0.980712,0.740469,0.882546,0.487737,0.795437,0.841246,0.042899,0.925988,0.901502,0.646146,0.606083,0.282544,0.944709]
average_cost
0
f_measure
0.418685 [0.677778,0.809524,0,0.384615,0.202532,0,0,0,0,0,0.233333,0.263158,0,0.431373,0,0,0.153846,0.513514,0,0,0,0.75]
kappa
0.370714
kb_relative_information_score
117.058772
mean_absolute_error
0.060928
mean_prior_absolute_error
0.081209
number_of_instances
339 [84,20,9,14,39,1,14,6,0,2,28,16,7,24,2,1,10,29,6,2,1,24]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.39994 [0.635417,0.772727,0,0.416667,0.2,0,0,0,0,0,0.21875,0.227273,0,0.407407,0,0,0.333333,0.422222,0,0,0,0.75]
predictive_accuracy
0.448378
prior_entropy
3.754223
recall
0.448378 [0.72619,0.85,0,0.357143,0.205128,0,0,0,0,0,0.25,0.3125,0,0.458333,0,0,0.1,0.655172,0,0,0,0.75]
relative_absolute_error
0.750264
root_mean_prior_squared_error
0.201084
root_mean_squared_error
0.17997
root_relative_squared_error
0.894998
scimark_benchmark
1334.380508 [821.5923320316585, 932.69846187408, 511.3056536961462, 1069.1027117058654, 3337.2033792549514]
total_cost
0
usercpu_time_millis
130
usercpu_time_millis_testing
0
usercpu_time_millis_training
130
area_under_roc_curve
0.816379 [0.870192,1,0.515152,0.421875,0.7375,0.0,0.787879,0.0,0.0,1,0.811828,0.96875,0.575758,0.46875,0.0,0.0,0.909091,0.967742,0.0,0.0,0.0,1]
area_under_roc_curve
0.843152 [0.879808,1,0.30303,0.90625,0.7,0.0,0.909091,0.0,0.0,1,0.758065,0.924242,0.787879,0.71875,0.0,0.0,1,0.924731,0.0,0.606061,0.0,1]
area_under_roc_curve
0.786122 [0.817308,1,0.909091,0.8125,0.629167,0.0,0.80303,0.272727,0.0,0.0,0.703125,0.863636,0.515152,0.992188,0.0,0.348485,0.954545,0.698925,0.0,0.893939,0.0,1]
area_under_roc_curve
0.775504 [0.790865,0.960938,0.030303,0.9375,0.629167,0.469697,0.530303,0.712121,0.0,0.0,0.859375,0.848485,0.666667,0.703125,0.757576,0.0,0.909091,0.892473,0.0,0.0,0.0,1]
area_under_roc_curve
0.820693 [0.78,1,0.909091,1,0.629167,0.0,0.515152,0.545455,0.0,0.0,0.790323,1,0.69697,1,0.969697,0.0,1,0.951613,0.848485,0.0,0.0,0.828125]
area_under_roc_curve
0.85155 [0.871111,1,0.727273,0.666667,0.879167,0.0,0.757812,0.924242,0.0,0.0,0.709677,0.90625,0.0,1,0.0,0.0,0.954545,0.774194,0.606061,0.0,0.0,0.96875]
area_under_roc_curve
0.757829 [0.708889,0.96875,0.909091,1,0.725806,0.0,0.5625,0.909091,0.0,0.0,0.467742,0.953125,0.0,0.811828,0.0,0.0,0.666667,0.962366,0.560606,0.0,0.0,0.734375]
area_under_roc_curve
0.866933 [0.911111,1,0.0,1,0.908333,0.0,0.8125,0.636364,0.0,0.0,0.763441,0.625,0.0,0.827957,0.0,0.0,0.939394,0.967742,0.545455,0.0,0.0,0.984375]
area_under_roc_curve
0.782402 [0.766827,1,0.469697,0.969697,0.545833,0.0,0.78125,0.0,0.0,0.0,0.72043,0.890625,0.424242,0.88172,0.0,0.0,0.954545,0.984375,0.636364,0.0,0.772727,0.96875]
area_under_roc_curve
0.810704 [0.94,1,0.75,1,0.482759,0.0,0.546875,0.0,0.0,0.0,0.861111,0.951613,0.109375,0.65,0.0,0.0,1,0.95,0.609375,0.0,0.0,1]
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
0.407828 [0.736842,1,0,0,0.25,0,0,0,0,0,0.4,0,0,0,0,0,0,0.4,0,0,0,0.857143]
f_measure
0.478135 [0.705882,1,0,0.666667,0.285714,0,0,0,0,0,0,0.333333,0,0.4,0,0,0,0.666667,0,0,0,1]
f_measure
0.300654 [0.5,0.5,0,0,0.222222,0,0,0,0,0,0,0,0,0.666667,0,0,0,0,0,0,0,1]
f_measure
0.369833 [0.705882,0.5,0,0.5,0.181818,0,0,0,0,0,0.4,0,0,0,0,0,0,0.333333,0,0,0,0.8]
f_measure
0.478641 [0.75,1,0,0.666667,0,0,0,0,0,0,0.285714,1,0,0.5,0,0,1,0.666667,0,0,0,0.5]
f_measure
0.423529 [0.666667,1,0,0,0.4,0,0,0,0,0,0,0.4,0,0.5,0,0,0,0.666667,0,0,0,0.5]
f_measure
0.372638 [0.6,0,0,1,0,0,0,0,0,0,0.333333,0.4,0,0.5,0,0,0,0.545455,0,0,0,0.666667]
f_measure
0.45968 [0.705882,1,0,1,0.571429,0,0,0,0,0,0,0,0,0.285714,0,0,0,0.6,0,0,0,0.666667]
f_measure
0.313445 [0.6,1,0,0,0,0,0,0,0,0,0,0,0,0.571429,0,0,0,0.571429,0,0,0,0.5]
f_measure
0.471452 [0.823529,1,0,0,0,0,0,0,0,0,0.5,0.5,0,0.5,0,0,0,0.545455,0,0,0,0.666667]
kappa
0.390438
kappa
0.438835
kappa
0.270955
kappa
0.3
kappa
0.438835
kappa
0.381193
kappa
0.320679
kappa
0.397044
kappa
0.286713
kappa
0.481675
kb_relative_information_score
12.313343
kb_relative_information_score
12.667086
kb_relative_information_score
10.162282
kb_relative_information_score
10.593447
kb_relative_information_score
13.262796
kb_relative_information_score
12.333568
kb_relative_information_score
10.875619
kb_relative_information_score
11.915019
kb_relative_information_score
10.302793
kb_relative_information_score
12.632818
mean_absolute_error
0.05796
mean_absolute_error
0.059932
mean_absolute_error
0.066054
mean_absolute_error
0.06246
mean_absolute_error
0.059026
mean_absolute_error
0.060233
mean_absolute_error
0.064896
mean_absolute_error
0.059967
mean_absolute_error
0.062346
mean_absolute_error
0.056271
mean_prior_absolute_error
0.081317
mean_prior_absolute_error
0.081421
mean_prior_absolute_error
0.081592
mean_prior_absolute_error
0.081592
mean_prior_absolute_error
0.081006
mean_prior_absolute_error
0.080851
mean_prior_absolute_error
0.080962
mean_prior_absolute_error
0.08074
mean_prior_absolute_error
0.081495
mean_prior_absolute_error
0.081111
number_of_instances
34 [8,2,1,2,4,0,1,0,0,1,3,2,1,2,0,0,1,3,0,0,0,3]
number_of_instances
34 [8,2,1,2,4,0,1,0,0,1,3,1,1,2,0,0,1,3,0,1,0,3]
number_of_instances
34 [8,2,1,2,4,0,1,1,0,0,2,1,1,2,0,1,1,3,0,1,0,3]
number_of_instances
34 [8,2,1,2,4,1,1,1,0,0,2,1,1,2,1,0,1,3,0,0,0,3]
number_of_instances
34 [9,2,1,1,4,0,1,1,0,0,3,1,1,2,1,0,1,3,1,0,0,2]
number_of_instances
34 [9,2,1,1,4,0,2,1,0,0,3,2,0,2,0,0,1,3,1,0,0,2]
number_of_instances
34 [9,2,1,1,3,0,2,1,0,0,3,2,0,3,0,0,1,3,1,0,0,2]
number_of_instances
34 [9,2,0,1,4,0,2,1,0,0,3,2,0,3,0,0,1,3,1,0,0,2]
number_of_instances
34 [8,2,1,1,4,0,2,0,0,0,3,2,1,3,0,0,1,2,1,0,1,2]
number_of_instances
33 [8,2,1,1,4,0,1,0,0,0,3,2,1,3,0,0,1,3,1,0,0,2]
precision
0.373472 [0.636364,1,0,0,0.25,0,0,0,0,0,0.285714,0,0,0,0,0,0,0.5,0,0,0,0.75]
precision
0.486275 [0.666667,1,0,1,0.333333,0,0,0,0,0,0,0.2,0,0.333333,0,0,0,0.666667,0,0,0,1]
precision
0.278431 [0.5,0.333333,0,0,0.2,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,1]
precision
0.369748 [0.666667,0.5,0,0.5,0.142857,0,0,0,0,0,0.333333,0,0,0,0,0,0,0.333333,0,0,0,1]
precision
0.489146 [0.857143,1,0,0.5,0,0,0,0,0,0,0.25,1,0,0.333333,0,0,1,0.666667,0,0,0,0.5]
precision
0.389706 [0.583333,1,0,0,0.333333,0,0,0,0,0,0,0.333333,0,0.5,0,0,0,0.666667,0,0,0,0.5]
precision
0.402963 [0.545455,0,0,1,0,0,0,0,0,0,0.333333,0.333333,0,1,0,0,0,0.375,0,0,0,1]
precision
0.483894 [0.75,1,0,1,0.666667,0,0,0,0,0,0,0,0,0.25,0,0,0,0.428571,0,0,0,1]
precision
0.273529 [0.5,1,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0.4,0,0,0,0.5]
precision
0.471128 [0.777778,1,0,0,0,0,0,0,0,0,0.4,0.5,0,1,0,0,0,0.375,0,0,0,0.5]
predictive_accuracy
0.470588
predictive_accuracy
0.5
predictive_accuracy
0.352941
predictive_accuracy
0.382353
predictive_accuracy
0.5
predictive_accuracy
0.470588
predictive_accuracy
0.411765
predictive_accuracy
0.470588
predictive_accuracy
0.382353
predictive_accuracy
0.545455
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
prior_entropy
3.754223
recall
0.470588 [0.875,1,0,0,0.25,0,0,0,0,0,0.666667,0,0,0,0,0,0,0.333333,0,0,0,1]
recall
0.5 [0.75,1,0,0.5,0.25,0,0,0,0,0,0,1,0,0.5,0,0,0,0.666667,0,0,0,1]
recall
0.352941 [0.5,1,0,0,0.25,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1]
recall
0.382353 [0.75,0.5,0,0.5,0.25,0,0,0,0,0,0.5,0,0,0,0,0,0,0.333333,0,0,0,0.666667]
recall
0.5 [0.666667,1,0,1,0,0,0,0,0,0,0.333333,1,0,1,0,0,1,0.666667,0,0,0,0.5]
recall
0.470588 [0.777778,1,0,0,0.5,0,0,0,0,0,0,0.5,0,0.5,0,0,0,0.666667,0,0,0,0.5]
recall
0.411765 [0.666667,0,0,1,0,0,0,0,0,0,0.333333,0.5,0,0.333333,0,0,0,1,0,0,0,0.5]
recall
0.470588 [0.666667,1,0,1,0.5,0,0,0,0,0,0,0,0,0.333333,0,0,0,1,0,0,0,0.5]
recall
0.382353 [0.75,1,0,0,0,0,0,0,0,0,0,0,0,0.666667,0,0,0,1,0,0,0,0.5]
recall
0.545455 [0.875,1,0,0,0,0,0,0,0,0,0.666667,0.5,0,0.333333,0,0,0,1,0,0,0,1]
relative_absolute_error
0.712763
relative_absolute_error
0.73607
relative_absolute_error
0.809563
relative_absolute_error
0.765517
relative_absolute_error
0.728663
relative_absolute_error
0.744989
relative_absolute_error
0.801563
relative_absolute_error
0.742717
relative_absolute_error
0.76503
relative_absolute_error
0.693754
root_mean_prior_squared_error
0.201354
root_mean_prior_squared_error
0.201611
root_mean_prior_squared_error
0.202033
root_mean_prior_squared_error
0.202033
root_mean_prior_squared_error
0.20058
root_mean_prior_squared_error
0.200192
root_mean_prior_squared_error
0.200469
root_mean_prior_squared_error
0.199914
root_mean_prior_squared_error
0.201795
root_mean_prior_squared_error
0.20084
root_mean_squared_error
0.178628
root_mean_squared_error
0.179106
root_mean_squared_error
0.191232
root_mean_squared_error
0.189774
root_mean_squared_error
0.172006
root_mean_squared_error
0.175486
root_mean_squared_error
0.184641
root_mean_squared_error
0.171698
root_mean_squared_error
0.183466
root_mean_squared_error
0.17212
root_relative_squared_error
0.887137
root_relative_squared_error
0.888376
root_relative_squared_error
0.94654
root_relative_squared_error
0.939321
root_relative_squared_error
0.857544
root_relative_squared_error
0.87659
root_relative_squared_error
0.921044
root_relative_squared_error
0.858858
root_relative_squared_error
0.909174
root_relative_squared_error
0.857002
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
110
usercpu_time_millis
100
usercpu_time_millis
110
usercpu_time_millis
110
usercpu_time_millis
120
usercpu_time_millis
110
usercpu_time_millis
120
usercpu_time_millis
120
usercpu_time_millis
110
usercpu_time_millis
110
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
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
110
usercpu_time_millis_training
100
usercpu_time_millis_training
110
usercpu_time_millis_training
110
usercpu_time_millis_training
120
usercpu_time_millis_training
110
usercpu_time_millis_training
120
usercpu_time_millis_training
120
usercpu_time_millis_training
110
usercpu_time_millis_training
110