134039
2
Joaquin Vanschoren
14
Supervised Classification
420
weka.AdaBoostM1_RandomTree(2)
671
weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 10 -W weka.classifiers.trees.RandomTree -- -K 0 -M 1.0 -V 0.001 -S 1
I
10
420
P
100
420
S
1
420
W
weka.classifiers.trees.RandomTree
420
K
0
421
M
1.0
421
S
1
421
V
0.001
421
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
427169
description
https://api.openml.org/data/download/427169/weka_generated_run380623856414609365.xml
-1
427172
model_readable
https://api.openml.org/data/download/427172/WekaModel_weka.classifiers.meta.AdaBoostM13866274633921717960.model
-1
427171
model_serialized
https://api.openml.org/data/download/427171/WekaSerialized_weka.classifiers.meta.AdaBoostM17512221765119361116.model
-1
427170
predictions
https://api.openml.org/data/download/427170/weka_generated_predictions6781093202105950054.arff
area_under_roc_curve
0.821389 [0.970833,0.728611,0.88,0.7975,0.825556,0.843333,0.686944,0.872222,0.918333,0.690556]
average_cost
0
build_cpu_time
0.0513
build_memory
1266168513.6
f_measure
0.677834 [0.938272,0.521964,0.781095,0.636591,0.665072,0.739583,0.444444,0.77,0.846535,0.434783]
kappa
0.642778
kb_relative_information_score
1327.577934
mean_absolute_error
0.0643
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
0.67804 [0.926829,0.540107,0.777228,0.638191,0.637615,0.771739,0.459893,0.77,0.838235,0.420561]
predictive_accuracy
0.6785
prior_entropy
3.321928
recall
0.6785 [0.95,0.505,0.785,0.635,0.695,0.71,0.43,0.77,0.855,0.45]
relative_absolute_error
0.357222
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.253574
root_relative_squared_error
0.845248
scimark_benchmark
939.083965 [536.029707315513, 1007.5581615570936, 483.23216931738307, 908.0152143388744, 1760.5845701777503]
total_cost
0
area_under_roc_curve
0.788889 [0.963889,0.713889,0.827778,0.702778,0.830556,0.838889,0.608333,0.866667,0.875,0.661111]
area_under_roc_curve
0.805556 [0.947222,0.730556,0.855556,0.755556,0.769444,0.861111,0.736111,0.830556,0.916667,0.652778]
area_under_roc_curve
0.816667 [0.95,0.777778,0.866667,0.805556,0.875,0.783333,0.713889,0.866667,0.933333,0.594444]
area_under_roc_curve
0.847222 [0.969444,0.622222,0.841667,0.825,0.933333,0.897222,0.788889,0.866667,0.983333,0.744444]
area_under_roc_curve
0.822222 [1,0.644444,0.888889,0.830556,0.861111,0.866667,0.622222,0.936111,0.916667,0.655556]
area_under_roc_curve
0.841667 [0.994444,0.777778,0.894444,0.827778,0.811111,0.813889,0.652778,0.966667,0.988889,0.688889]
area_under_roc_curve
0.858333 [0.975,0.819444,0.869444,0.877778,0.833333,0.908333,0.758333,0.877778,0.941667,0.722222]
area_under_roc_curve
0.825 [0.997222,0.727778,0.908333,0.775,0.702778,0.908333,0.697222,0.886111,0.897222,0.75]
area_under_roc_curve
0.811111 [0.994444,0.763889,0.919444,0.783333,0.8,0.736111,0.711111,0.788889,0.919444,0.694444]
area_under_roc_curve
0.797222 [0.916667,0.708333,0.927778,0.791667,0.838889,0.819444,0.580556,0.836111,0.811111,0.741667]
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
0.052
build_cpu_time
0.052
build_cpu_time
0.051
build_cpu_time
0.052
build_cpu_time
0.05
build_cpu_time
0.051
build_cpu_time
0.05
build_cpu_time
0.051
build_cpu_time
0.054
build_cpu_time
0.05
build_memory
1141987568
build_memory
1237511232
build_memory
1237511232
build_memory
1256615936
build_memory
1275720656
build_memory
1275720656
build_memory
1294825856
build_memory
1294825856
build_memory
1313930680
build_memory
1333035464
f_measure
0.624201 [0.883721,0.465116,0.666667,0.486486,0.682927,0.736842,0.292683,0.789474,0.857143,0.380952]
f_measure
0.648681 [0.923077,0.540541,0.714286,0.578947,0.55814,0.75,0.488889,0.682927,0.85,0.4]
f_measure
0.668008 [0.947368,0.6,0.789474,0.65,0.711111,0.631579,0.465116,0.789474,0.818182,0.277778]
f_measure
0.720064 [0.926829,0.333333,0.756757,0.651163,0.818182,0.864865,0.666667,0.789474,0.869565,0.52381]
f_measure
0.6775 [1,0.368421,0.8,0.682927,0.75,0.789474,0.333333,0.837209,0.85,0.363636]
f_measure
0.709049 [0.952381,0.6,0.842105,0.666667,0.684211,0.702703,0.4,0.904762,0.909091,0.428571]
f_measure
0.744591 [0.974359,0.742857,0.810811,0.727273,0.7,0.790698,0.594595,0.727273,0.878049,0.5]
f_measure
0.681206 [0.97561,0.526316,0.790698,0.585366,0.486486,0.790698,0.461538,0.780488,0.864865,0.55]
f_measure
0.662257 [0.952381,0.533333,0.871795,0.631579,0.619048,0.571429,0.454545,0.666667,0.871795,0.45]
f_measure
0.631352 [0.85,0.514286,0.782609,0.685714,0.625,0.742857,0.258065,0.717949,0.684211,0.45283]
kappa
0.577778
kappa
0.611111
kappa
0.633333
kappa
0.694444
kappa
0.644444
kappa
0.683333
kappa
0.716667
kappa
0.65
kappa
0.622222
kappa
0.594444
kb_relative_information_score
120.522431
kb_relative_information_score
126.796976
kb_relative_information_score
130.980006
kb_relative_information_score
142.483338
kb_relative_information_score
133.071521
kb_relative_information_score
140.391823
kb_relative_information_score
146.666368
kb_relative_information_score
134.117278
kb_relative_information_score
128.888491
kb_relative_information_score
123.659703
mean_absolute_error
0.076
mean_absolute_error
0.07
mean_absolute_error
0.066
mean_absolute_error
0.055
mean_absolute_error
0.064
mean_absolute_error
0.057
mean_absolute_error
0.051
mean_absolute_error
0.063
mean_absolute_error
0.068
mean_absolute_error
0.073
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
0.635377 [0.826087,0.434783,0.636364,0.529412,0.666667,0.777778,0.285714,0.833333,1,0.363636]
precision
0.652361 [0.947368,0.588235,0.681818,0.611111,0.521739,0.75,0.44,0.666667,0.85,0.466667]
precision
0.672062 [1,0.6,0.833333,0.65,0.64,0.666667,0.434783,0.833333,0.75,0.3125]
precision
0.725573 [0.904762,0.375,0.823529,0.608696,0.75,0.941176,0.75,0.833333,0.769231,0.5]
precision
0.677983 [1,0.388889,0.8,0.666667,0.75,0.833333,0.375,0.782609,0.85,0.333333]
precision
0.7094 [0.909091,0.6,0.888889,0.636364,0.722222,0.764706,0.466667,0.863636,0.833333,0.409091]
precision
0.752569 [1,0.866667,0.882353,0.666667,0.7,0.73913,0.647059,0.666667,0.857143,0.5]
precision
0.68138 [0.952381,0.555556,0.73913,0.571429,0.529412,0.73913,0.473684,0.761905,0.941176,0.55]
precision
0.671947 [0.909091,0.48,0.894737,0.666667,0.590909,0.666667,0.416667,0.75,0.894737,0.45]
precision
0.653103 [0.85,0.6,0.692308,0.8,0.535714,0.866667,0.363636,0.736842,0.722222,0.363636]
predictive_accuracy
0.62
predictive_accuracy
0.65
predictive_accuracy
0.67
predictive_accuracy
0.725
predictive_accuracy
0.68
predictive_accuracy
0.715
predictive_accuracy
0.745
predictive_accuracy
0.685
predictive_accuracy
0.66
predictive_accuracy
0.635
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
0.62 [0.95,0.5,0.7,0.45,0.7,0.7,0.3,0.75,0.75,0.4]
recall
0.65 [0.9,0.5,0.75,0.55,0.6,0.75,0.55,0.7,0.85,0.35]
recall
0.67 [0.9,0.6,0.75,0.65,0.8,0.6,0.5,0.75,0.9,0.25]
recall
0.725 [0.95,0.3,0.7,0.7,0.9,0.8,0.6,0.75,1,0.55]
recall
0.68 [1,0.35,0.8,0.7,0.75,0.75,0.3,0.9,0.85,0.4]
recall
0.715 [1,0.6,0.8,0.7,0.65,0.65,0.35,0.95,1,0.45]
recall
0.745 [0.95,0.65,0.75,0.8,0.7,0.85,0.55,0.8,0.9,0.5]
recall
0.685 [1,0.5,0.85,0.6,0.45,0.85,0.45,0.8,0.8,0.55]
recall
0.66 [1,0.6,0.85,0.6,0.65,0.5,0.5,0.6,0.85,0.45]
recall
0.635 [0.85,0.45,0.9,0.6,0.75,0.65,0.2,0.7,0.65,0.6]
relative_absolute_error
0.422222
relative_absolute_error
0.388889
relative_absolute_error
0.366667
relative_absolute_error
0.305556
relative_absolute_error
0.355556
relative_absolute_error
0.316667
relative_absolute_error
0.283333
relative_absolute_error
0.35
relative_absolute_error
0.377778
relative_absolute_error
0.405556
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
0.275681
root_mean_squared_error
0.264575
root_mean_squared_error
0.256905
root_mean_squared_error
0.234521
root_mean_squared_error
0.252982
root_mean_squared_error
0.238747
root_mean_squared_error
0.225832
root_mean_squared_error
0.250998
root_mean_squared_error
0.260768
root_mean_squared_error
0.270185
root_relative_squared_error
0.918937
root_relative_squared_error
0.881917
root_relative_squared_error
0.856349
root_relative_squared_error
0.781736
root_relative_squared_error
0.843274
root_relative_squared_error
0.795822
root_relative_squared_error
0.752773
root_relative_squared_error
0.83666
root_relative_squared_error
0.869227
root_relative_squared_error
0.900617
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