117930
2
Joaquin Vanschoren
14
Supervised Classification
407
weka.AdaBoostM1_LADTree(2)
638
weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 20 -W weka.classifiers.trees.LADTree -- -B 10
I
20
407
P
100
407
S
1
407
W
weka.classifiers.trees.LADTree
407
B
10
408
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
364801
description
https://api.openml.org/data/download/364801/weka_generated_run892129119102039466.xml
-1
364804
model_readable
https://api.openml.org/data/download/364804/WekaModel_weka.classifiers.meta.AdaBoostM14403660735036677395.model
-1
364803
model_serialized
https://api.openml.org/data/download/364803/WekaSerialized_weka.classifiers.meta.AdaBoostM17665993736136922058.model
-1
364802
predictions
https://api.openml.org/data/download/364802/weka_generated_predictions1612184335937102256.arff
area_under_roc_curve
0.962255 [0.999989,0.919351,0.980456,0.976978,0.945275,0.980289,0.935668,0.977133,0.988299,0.919114]
average_cost
0
build_cpu_time
66.0657
build_memory
856941302.4
f_measure
0.765471 [0.99005,0.671916,0.8933,0.78392,0.699229,0.822695,0.527919,0.851064,0.921182,0.493438]
kappa
0.743333
kb_relative_information_score
1185.432687
mean_absolute_error
0.107641
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.763712 [0.985149,0.707182,0.8867,0.787879,0.719577,0.780269,0.536082,0.807175,0.907767,0.519337]
predictive_accuracy
0.769
prior_entropy
3.321928
recall
0.769 [0.995,0.64,0.9,0.78,0.68,0.87,0.52,0.9,0.935,0.47]
relative_absolute_error
0.598004
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.201437
root_relative_squared_error
0.671456
scimark_benchmark
923.365897 [507.34166910583804, 1013.919993711725, 481.71457151086304, 895.9125453368102, 1717.9407057950139]
total_cost
0
area_under_roc_curve
0.966347 [1,0.948889,0.958889,0.990278,0.945972,0.998194,0.94,0.987083,0.973056,0.921111]
area_under_roc_curve
0.955792 [1,0.945972,0.965833,0.935,0.866667,0.981944,0.964583,0.955556,1,0.942361]
area_under_roc_curve
0.956403 [1,0.919444,0.977917,0.961389,0.9675,0.9425,0.90625,0.944722,0.999722,0.944583]
area_under_roc_curve
0.95875 [1,0.90125,0.964722,0.99,0.967639,0.960278,0.945,0.961389,0.988056,0.909167]
area_under_roc_curve
0.950736 [1,0.90125,0.954444,0.958611,0.928889,0.97875,0.938889,0.973333,1,0.873194]
area_under_roc_curve
0.971792 [1,0.912778,0.998611,0.976944,0.956111,0.988056,0.951944,0.99125,0.991111,0.951111]
area_under_roc_curve
0.972556 [1,0.9625,0.990278,0.991389,0.980556,0.984444,0.942361,0.986667,0.996389,0.890972]
area_under_roc_curve
0.966917 [1,0.892639,0.998472,0.985556,0.955833,0.992778,0.932083,0.99,0.960556,0.96125]
area_under_roc_curve
0.965347 [1,0.907222,0.999167,0.995278,0.957361,0.988056,0.93625,0.990417,1,0.879722]
area_under_roc_curve
0.964417 [1,0.926944,0.986944,0.978611,0.929583,0.994722,0.920833,0.992639,0.975139,0.93875]
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
build_cpu_time
57.648
build_cpu_time
56.3
build_cpu_time
67.745
build_cpu_time
84.607
build_cpu_time
78.708
build_cpu_time
61.492
build_cpu_time
60.969
build_cpu_time
66.972
build_cpu_time
77.649
build_cpu_time
48.567
build_memory
216722696
build_memory
1465684888
build_memory
1515393424
build_memory
568184272
build_memory
841048016
build_memory
779867144
build_memory
696957720
build_memory
733907672
build_memory
1039806896
build_memory
711840296
f_measure
0.749142 [0.97561,0.578947,0.829268,0.761905,0.697674,0.95,0.457143,0.85,0.878049,0.512821]
f_measure
0.774195 [1,0.780488,0.864865,0.820513,0.571429,0.772727,0.516129,0.844444,0.97561,0.595745]
f_measure
0.763937 [0.974359,0.7,0.923077,0.756757,0.682927,0.755556,0.571429,0.789474,0.930233,0.555556]
f_measure
0.755232 [0.97561,0.727273,0.923077,0.844444,0.727273,0.810811,0.4,0.837209,0.878049,0.428571]
f_measure
0.708444 [1,0.55814,0.894737,0.714286,0.514286,0.708333,0.5,0.761905,0.97561,0.457143]
f_measure
0.774491 [1,0.647059,0.926829,0.7,0.682927,0.837209,0.622222,0.883721,0.974359,0.470588]
f_measure
0.751926 [1,0.764706,0.809524,0.864865,0.8,0.782609,0.421053,0.790698,0.926829,0.358974]
f_measure
0.769262 [1,0.619048,0.97561,0.7,0.702703,0.820513,0.585366,0.904762,0.820513,0.564103]
f_measure
0.81466 [1,0.647059,0.904762,0.878049,0.810811,0.904762,0.577778,0.909091,1,0.514286]
f_measure
0.787706 [0.97561,0.714286,0.883721,0.8,0.777778,0.923077,0.565217,0.930233,0.85,0.457143]
kappa
0.727778
kappa
0.755556
kappa
0.738889
kappa
0.733333
kappa
0.683333
kappa
0.755556
kappa
0.727778
kappa
0.744444
kappa
0.8
kappa
0.766667
kb_relative_information_score
116.069322
kb_relative_information_score
114.922773
kb_relative_information_score
116.633059
kb_relative_information_score
119.850317
kb_relative_information_score
112.27671
kb_relative_information_score
121.252677
kb_relative_information_score
119.1367
kb_relative_information_score
118.415489
kb_relative_information_score
128.287383
kb_relative_information_score
118.588257
mean_absolute_error
0.109248
mean_absolute_error
0.112621
mean_absolute_error
0.110529
mean_absolute_error
0.104325
mean_absolute_error
0.112259
mean_absolute_error
0.105058
mean_absolute_error
0.107188
mean_absolute_error
0.108466
mean_absolute_error
0.098901
mean_absolute_error
0.107812
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
0.746925 [0.952381,0.611111,0.809524,0.727273,0.652174,0.95,0.533333,0.85,0.857143,0.526316]
precision
0.787836 [1,0.761905,0.941176,0.842105,0.666667,0.708333,0.727273,0.76,0.952381,0.518519]
precision
0.769092 [1,0.7,0.947368,0.823529,0.666667,0.68,0.545455,0.833333,0.869565,0.625]
precision
0.764736 [0.952381,0.923077,0.947368,0.76,0.666667,0.882353,0.466667,0.782609,0.857143,0.409091]
precision
0.713063 [1,0.521739,0.944444,0.681818,0.6,0.607143,0.5625,0.727273,0.952381,0.533333]
precision
0.779727 [1,0.785714,0.904762,0.7,0.666667,0.782609,0.56,0.826087,1,0.571429]
precision
0.759154 [1,0.928571,0.772727,0.941176,0.8,0.692308,0.444444,0.73913,0.904762,0.368421]
precision
0.770622 [1,0.590909,0.952381,0.7,0.764706,0.842105,0.571429,0.863636,0.842105,0.578947]
precision
0.820582 [1,0.785714,0.863636,0.857143,0.882353,0.863636,0.52,0.833333,1,0.6]
precision
0.796889 [0.952381,0.681818,0.826087,0.933333,0.875,0.947368,0.5,0.869565,0.85,0.533333]
predictive_accuracy
0.755
predictive_accuracy
0.78
predictive_accuracy
0.765
predictive_accuracy
0.76
predictive_accuracy
0.715
predictive_accuracy
0.78
predictive_accuracy
0.755
predictive_accuracy
0.77
predictive_accuracy
0.82
predictive_accuracy
0.79
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
0.755 [1,0.55,0.85,0.8,0.75,0.95,0.4,0.85,0.9,0.5]
recall
0.78 [1,0.8,0.8,0.8,0.5,0.85,0.4,0.95,1,0.7]
recall
0.765 [0.95,0.7,0.9,0.7,0.7,0.85,0.6,0.75,1,0.5]
recall
0.76 [1,0.6,0.9,0.95,0.8,0.75,0.35,0.9,0.9,0.45]
recall
0.715 [1,0.6,0.85,0.75,0.45,0.85,0.45,0.8,1,0.4]
recall
0.78 [1,0.55,0.95,0.7,0.7,0.9,0.7,0.95,0.95,0.4]
recall
0.755 [1,0.65,0.85,0.8,0.8,0.9,0.4,0.85,0.95,0.35]
recall
0.77 [1,0.65,1,0.7,0.65,0.8,0.6,0.95,0.8,0.55]
recall
0.82 [1,0.55,0.95,0.9,0.75,0.95,0.65,1,1,0.45]
recall
0.79 [1,0.75,0.95,0.7,0.7,0.9,0.65,1,0.85,0.4]
relative_absolute_error
0.606936
relative_absolute_error
0.625673
relative_absolute_error
0.614049
relative_absolute_error
0.579582
relative_absolute_error
0.62366
relative_absolute_error
0.583656
relative_absolute_error
0.595487
relative_absolute_error
0.60259
relative_absolute_error
0.549448
relative_absolute_error
0.598957
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
0.203408
root_mean_squared_error
0.206866
root_mean_squared_error
0.204638
root_mean_squared_error
0.200403
root_mean_squared_error
0.210795
root_mean_squared_error
0.196761
root_mean_squared_error
0.199487
root_mean_squared_error
0.201538
root_mean_squared_error
0.189274
root_mean_squared_error
0.200438
root_relative_squared_error
0.678027
root_relative_squared_error
0.689554
root_relative_squared_error
0.682126
root_relative_squared_error
0.668009
root_relative_squared_error
0.702651
root_relative_squared_error
0.65587
root_relative_squared_error
0.664956
root_relative_squared_error
0.671794
root_relative_squared_error
0.630913
root_relative_squared_error
0.668126
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