12297
2
Joaquin Vanschoren
14
Supervised Classification
60
weka.J48(1)
84
weka.classifiers.trees.J48 -- -C 0.25 -M 5
C
0.25
60
M
5
60
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
24939
description
https://api.openml.org/data/download/24939/weka_generated_run920804069984114464.xml
-1
24940
predictions
https://api.openml.org/data/download/24940/weka_generated_predictions822317029934224400.arff
area_under_roc_curve
0.917486 [0.986621,0.888404,0.965675,0.920876,0.872156,0.935171,0.839165,0.937618,0.978533,0.850643]
average_cost
0
f_measure
0.755723 [0.965,0.711443,0.907731,0.790244,0.660099,0.794937,0.439306,0.826733,0.923457,0.538283]
kappa
0.731667
kb_relative_information_score
1517.356246
mean_absolute_error
0.054257
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
0.755897 [0.965,0.707921,0.905473,0.771429,0.650485,0.805128,0.520548,0.818627,0.912195,0.502165]
predictive_accuracy
0.7585
prior_entropy
3.321928
recall
0.7585 [0.965,0.715,0.91,0.81,0.67,0.785,0.38,0.835,0.935,0.58]
relative_absolute_error
0.301426
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.196575
root_relative_squared_error
0.65525
scimark_benchmark
936.954288 [558.87235220088451015.7907504114269445.9060745024889909.27509318503251754.9271701211055]
total_cost
0
area_under_roc_curve
0.929444 [0.997222,0.867917,0.985833,0.949306,0.93625,0.968889,0.853611,0.916111,0.995417,0.823889]
area_under_roc_curve
0.916208 [0.972639,0.846528,0.957083,0.946806,0.911528,0.985694,0.802083,0.933056,0.965417,0.84125]
area_under_roc_curve
0.914806 [0.975,0.892083,0.915,0.858472,0.884028,0.963889,0.896944,0.895694,1,0.866944]
area_under_roc_curve
0.918736 [0.989444,0.91625,0.994167,0.987639,0.910694,0.86625,0.8575,0.887361,0.974583,0.803472]
area_under_roc_curve
0.905972 [0.997222,0.8225,0.919444,0.933194,0.804861,0.931528,0.8175,0.926667,0.996806,0.91]
area_under_roc_curve
0.9385 [1,0.953194,0.999444,0.910556,0.907917,0.935139,0.7675,0.989722,0.999861,0.921667]
area_under_roc_curve
0.900028 [0.974722,0.904583,0.920833,0.879583,0.710417,0.84625,0.962778,0.906111,1,0.895]
area_under_roc_curve
0.915472 [0.96875,0.864861,0.997222,0.89875,0.843472,0.991111,0.885556,0.98625,0.940417,0.778333]
area_under_roc_curve
0.935778 [0.997361,0.92125,0.996944,0.967083,0.938194,0.933889,0.783056,0.965278,1,0.854722]
area_under_roc_curve
0.899472 [1,0.894167,0.969167,0.882917,0.895278,0.941944,0.7475,0.963611,0.910139,0.79]
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
1.232
build_cpu_time
0.986
build_cpu_time
0.734
build_cpu_time
0.719
build_cpu_time
0.751
build_cpu_time
0.687
build_cpu_time
0.726
build_cpu_time
0.751
build_cpu_time
0.742
build_cpu_time
0.764
build_memory
426389968
build_memory
547143744
build_memory
583083896
build_memory
632731416
build_memory
667847544
build_memory
701674032
build_memory
735651824
build_memory
774297112
build_memory
808113216
build_memory
415585864
f_measure
0.75937 [0.97561,0.697674,0.9,0.820513,0.681818,0.894737,0.368421,0.842105,0.9,0.512821]
f_measure
0.741374 [0.974359,0.585366,0.894737,0.769231,0.666667,0.809524,0.486486,0.780488,0.923077,0.52381]
f_measure
0.756281 [0.974359,0.7,0.85,0.7,0.772727,0.85,0.5,0.833333,0.869565,0.512821]
f_measure
0.754849 [0.95,0.790698,0.95,0.790698,0.619048,0.65,0.55,0.8,0.974359,0.473684]
f_measure
0.73064 [0.97561,0.486486,0.820513,0.780488,0.5,0.727273,0.684211,0.772727,0.909091,0.65]
f_measure
0.7864 [1,0.864865,0.930233,0.8,0.651163,0.810811,0.4,0.818182,0.952381,0.636364]
f_measure
0.73594 [0.947368,0.75,0.918919,0.744186,0.55,0.65,0.413793,0.809524,0.97561,0.6]
f_measure
0.75775 [0.95,0.75,0.97561,0.829268,0.6,0.871795,0.352941,0.904762,0.864865,0.478261]
f_measure
0.799921 [0.974359,0.8,0.952381,0.95,0.75,0.842105,0.296296,0.857143,1,0.576923]
f_measure
0.722796 [0.930233,0.682927,0.878049,0.727273,0.769231,0.864865,0.27027,0.85,0.864865,0.390244]
kappa
0.733333
kappa
0.711111
kappa
0.733333
kappa
0.727778
kappa
0.711111
kappa
0.772222
kappa
0.711111
kappa
0.733333
kappa
0.788889
kappa
0.694444
kb_relative_information_score
153.540198
kb_relative_information_score
145.409077
kb_relative_information_score
151.424994
kb_relative_information_score
151.315313
kb_relative_information_score
147.844499
kb_relative_information_score
157.428233
kb_relative_information_score
150.09296
kb_relative_information_score
151.536568
kb_relative_information_score
161.108207
kb_relative_information_score
147.656198
mean_absolute_error
0.052454
mean_absolute_error
0.05798
mean_absolute_error
0.054445
mean_absolute_error
0.053304
mean_absolute_error
0.056231
mean_absolute_error
0.048984
mean_absolute_error
0.05784
mean_absolute_error
0.056022
mean_absolute_error
0.047666
mean_absolute_error
0.05764
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
0.76202 [0.952381,0.652174,0.9,0.842105,0.625,0.944444,0.388889,0.888889,0.9,0.526316]
precision
0.745312 [1,0.571429,0.944444,0.789474,0.636364,0.772727,0.529412,0.761905,0.947368,0.5]
precision
0.760388 [1,0.7,0.85,0.7,0.708333,0.85,0.5625,0.9375,0.769231,0.526316]
precision
0.76025 [0.95,0.73913,0.95,0.73913,0.590909,0.65,0.55,0.933333,1,0.5]
precision
0.733302 [0.952381,0.529412,0.842105,0.761905,0.666667,0.666667,0.722222,0.708333,0.833333,0.65]
precision
0.794421 [1,0.941176,0.869565,0.8,0.608696,0.882353,0.6,0.75,0.909091,0.583333]
precision
0.753743 [1,0.75,1,0.695652,0.55,0.65,0.666667,0.772727,0.952381,0.5]
precision
0.76131 [0.95,0.75,0.952381,0.809524,0.6,0.894737,0.428571,0.863636,0.941176,0.423077]
precision
0.815634 [1,0.8,0.909091,0.95,0.75,0.888889,0.571429,0.818182,1,0.46875]
precision
0.725694 [0.869565,0.666667,0.857143,0.666667,0.789474,0.941176,0.294118,0.85,0.941176,0.380952]
predictive_accuracy
0.76
predictive_accuracy
0.74
predictive_accuracy
0.76
predictive_accuracy
0.755
predictive_accuracy
0.74
predictive_accuracy
0.795
predictive_accuracy
0.74
predictive_accuracy
0.76
predictive_accuracy
0.81
predictive_accuracy
0.725
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
0.76 [1,0.75,0.9,0.8,0.75,0.85,0.35,0.8,0.9,0.5]
recall
0.74 [0.95,0.6,0.85,0.75,0.7,0.85,0.45,0.8,0.9,0.55]
recall
0.76 [0.95,0.7,0.85,0.7,0.85,0.85,0.45,0.75,1,0.5]
recall
0.755 [0.95,0.85,0.95,0.85,0.65,0.65,0.55,0.7,0.95,0.45]
recall
0.74 [1,0.45,0.8,0.8,0.4,0.8,0.65,0.85,1,0.65]
recall
0.795 [1,0.8,1,0.8,0.7,0.75,0.3,0.9,1,0.7]
recall
0.74 [0.9,0.75,0.85,0.8,0.55,0.65,0.3,0.85,1,0.75]
recall
0.76 [0.95,0.75,1,0.85,0.6,0.85,0.3,0.95,0.8,0.55]
recall
0.81 [0.95,0.8,1,0.95,0.75,0.8,0.2,0.9,1,0.75]
recall
0.725 [1,0.7,0.9,0.8,0.75,0.8,0.25,0.85,0.8,0.4]
relative_absolute_error
0.291411
relative_absolute_error
0.322113
relative_absolute_error
0.302473
relative_absolute_error
0.296135
relative_absolute_error
0.312393
relative_absolute_error
0.272133
relative_absolute_error
0.321333
relative_absolute_error
0.311233
relative_absolute_error
0.264811
relative_absolute_error
0.320224
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
0.196035
root_mean_squared_error
0.210149
root_mean_squared_error
0.196703
root_mean_squared_error
0.197295
root_mean_squared_error
0.204244
root_mean_squared_error
0.183563
root_mean_squared_error
0.202314
root_mean_squared_error
0.196735
root_mean_squared_error
0.170624
root_mean_squared_error
0.205057
root_relative_squared_error
0.653451
root_relative_squared_error
0.700498
root_relative_squared_error
0.655676
root_relative_squared_error
0.657651
root_relative_squared_error
0.680815
root_relative_squared_error
0.611875
root_relative_squared_error
0.67438
root_relative_squared_error
0.655785
root_relative_squared_error
0.568747
root_relative_squared_error
0.683524
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