151167
2
Joaquin Vanschoren
14
Supervised Classification
591
weka.IterativeClassifierOptimizer_LogitBoost_DecisionStump(1)
952
weka.classifiers.meta.IterativeClassifierOptimizer -- -W weka.classifiers.meta.LogitBoost -L 50 -P 1 -E 1 -I 1 -F 10 -R 1 -metric RMSE -S 1 -- -P 100 -L -1.7976931348623157E308 -H 1.0 -Z 3.0 -O 1 -E 1 -S 1 -I 10 -W weka.classifiers.trees.DecisionStump
E
1
471
H
1.0
471
I
10
471
L
-1.7976931348623157E308
471
O
1
471
P
100
471
S
1
471
W
weka.classifiers.trees.DecisionStump
471
Z
3.0
471
L
50
591
P
1
591
E
1
591
I
1
591
F
10
591
R
1
591
W
weka.classifiers.meta.LogitBoost
591
metric
RMSE
591
S
1
591
weka
weka_3.7.12-SNAPSHOT
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
491273
description
https://www.openml.org/data/download/491273/weka_generated_run8777801118039510647.xml
-1
491276
model_readable
https://www.openml.org/data/download/491276/WekaModel_weka.classifiers.meta.IterativeClassifierOptimizer5529687319793196821.model
-1
491275
model_serialized
https://www.openml.org/data/download/491275/WekaSerialized_weka.classifiers.meta.IterativeClassifierOptimizer4517483282366130003.model
-1
491274
predictions
https://www.openml.org/data/download/491274/weka_generated_predictions4769433347683627107.arff
area_under_roc_curve
0.971864 [0.999881,0.950758,0.995289,0.986222,0.947671,0.980375,0.94126,0.986056,0.993407,0.937721]
average_cost
0
f_measure
0.791661 [0.987469,0.725441,0.919192,0.836735,0.725,0.856436,0.540816,0.846715,0.937343,0.541463]
kappa
0.768333
kb_relative_information_score
1565.403736
mean_absolute_error
0.057343
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
0.792169 [0.98995,0.730964,0.928571,0.854167,0.725,0.848039,0.552083,0.824645,0.939698,0.528571]
predictive_accuracy
0.7915
prior_entropy
3.321928
recall
0.7915 [0.985,0.72,0.91,0.82,0.725,0.865,0.53,0.87,0.935,0.555]
relative_absolute_error
0.318575
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.171003
root_relative_squared_error
0.570011
scimark_benchmark
929.025506 [552.1496309692806, 1012.5880246437401, 465.83158043487504, 894.9948362526787, 1719.5634571666167]
total_cost
0
usercpu_time_millis
3590
usercpu_time_millis_testing
10
usercpu_time_millis_training
3580
area_under_roc_curve
0.972389 [0.998889,0.952778,0.995278,0.964444,0.956111,0.996111,0.922222,0.9825,0.998056,0.9575]
area_under_roc_curve
0.963639 [1,0.919444,0.999722,0.978889,0.918611,0.969722,0.946806,0.978056,0.988333,0.936806]
area_under_roc_curve
0.969528 [1,0.951389,0.999444,0.984722,0.964722,0.984722,0.904722,0.983056,1,0.9225]
area_under_roc_curve
0.973 [1,0.943333,0.985278,0.993333,0.964722,0.973611,0.9525,0.988889,0.996944,0.931389]
area_under_roc_curve
0.970861 [1,0.958056,0.992222,0.986111,0.900556,0.984722,0.950833,0.986389,0.999444,0.950278]
area_under_roc_curve
0.977 [1,0.9475,0.999444,0.990556,0.961111,0.987778,0.951389,0.990833,1,0.941389]
area_under_roc_curve
0.974389 [1,0.956389,0.991111,0.994722,0.960278,0.951111,0.971944,0.981944,0.996389,0.94]
area_under_roc_curve
0.982806 [1,0.971389,0.998889,0.994444,0.953333,0.992222,0.96,0.993333,0.993056,0.971389]
area_under_roc_curve
0.969194 [1,0.931944,1,0.993889,0.954167,0.968611,0.93,0.994444,1,0.918889]
area_under_roc_curve
0.967444 [1,0.968056,0.993056,0.990833,0.940278,0.997778,0.926111,0.981667,0.962778,0.913889]
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
0.752149 [0.947368,0.711111,0.878049,0.756757,0.711111,0.894737,0.411765,0.722222,0.883721,0.604651]
f_measure
0.767032 [0.97561,0.7,0.974359,0.761905,0.555556,0.829268,0.564103,0.809524,0.95,0.55]
f_measure
0.787788 [1,0.782609,0.947368,0.810811,0.8,0.820513,0.521739,0.842105,0.974359,0.378378]
f_measure
0.78324 [1,0.634146,0.857143,0.9,0.680851,0.8,0.615385,0.820513,0.974359,0.55]
f_measure
0.797072 [1,0.736842,0.923077,0.809524,0.702703,0.869565,0.5,0.85,0.974359,0.604651]
f_measure
0.792346 [0.97561,0.6875,0.97561,0.8,0.714286,0.857143,0.608696,0.904762,0.97561,0.424242]
f_measure
0.805237 [0.974359,0.65,0.918919,0.9,0.789474,0.837209,0.647059,0.844444,0.9,0.590909]
f_measure
0.849638 [1,0.789474,0.909091,0.923077,0.810811,0.878049,0.65,0.926829,0.864865,0.744186]
f_measure
0.80999 [1,0.756757,1,0.904762,0.769231,0.864865,0.388889,0.904762,1,0.510638]
f_measure
0.76146 [1,0.8,0.809524,0.787879,0.717949,0.918919,0.47619,0.826087,0.878049,0.4]
kappa
0.727778
kappa
0.744444
kappa
0.761111
kappa
0.755556
kappa
0.777778
kappa
0.777778
kappa
0.783333
kappa
0.833333
kappa
0.788889
kappa
0.733333
kb_relative_information_score
153.646208
kb_relative_information_score
152.037943
kb_relative_information_score
155.024619
kb_relative_information_score
152.57912
kb_relative_information_score
156.7437
kb_relative_information_score
160.987486
kb_relative_information_score
157.981119
kb_relative_information_score
163.301777
kb_relative_information_score
160.139295
kb_relative_information_score
152.962469
mean_absolute_error
0.060407
mean_absolute_error
0.061693
mean_absolute_error
0.057911
mean_absolute_error
0.061935
mean_absolute_error
0.057071
mean_absolute_error
0.053875
mean_absolute_error
0.055837
mean_absolute_error
0.051132
mean_absolute_error
0.053328
mean_absolute_error
0.060247
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
0.760892 [1,0.64,0.857143,0.823529,0.64,0.944444,0.5,0.8125,0.826087,0.565217]
precision
0.766585 [0.952381,0.7,1,0.727273,0.625,0.809524,0.578947,0.772727,0.95,0.55]
precision
0.797896 [1,0.692308,1,0.882353,0.8,0.842105,0.461538,0.888889,1,0.411765]
precision
0.793532 [1,0.619048,1,0.9,0.592593,0.8,0.631579,0.842105,1,0.55]
precision
0.800953 [1,0.777778,0.947368,0.772727,0.764706,0.769231,0.5625,0.85,1,0.565217]
precision
0.801437 [0.952381,0.916667,0.952381,0.8,0.681818,0.818182,0.538462,0.863636,0.952381,0.538462]
precision
0.815332 [1,0.65,1,0.9,0.833333,0.782609,0.785714,0.76,0.9,0.541667]
precision
0.854512 [1,0.833333,0.833333,0.947368,0.882353,0.857143,0.65,0.904762,0.941176,0.695652]
precision
0.81634 [1,0.823529,1,0.863636,0.789474,0.941176,0.4375,0.863636,1,0.444444]
precision
0.775203 [1,0.8,0.772727,1,0.736842,1,0.454545,0.730769,0.857143,0.4]
predictive_accuracy
0.755
predictive_accuracy
0.77
predictive_accuracy
0.785
predictive_accuracy
0.78
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.805
predictive_accuracy
0.85
predictive_accuracy
0.81
predictive_accuracy
0.76
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 [0.9,0.8,0.9,0.7,0.8,0.85,0.35,0.65,0.95,0.65]
recall
0.77 [1,0.7,0.95,0.8,0.5,0.85,0.55,0.85,0.95,0.55]
recall
0.785 [1,0.9,0.9,0.75,0.8,0.8,0.6,0.8,0.95,0.35]
recall
0.78 [1,0.65,0.75,0.9,0.8,0.8,0.6,0.8,0.95,0.55]
recall
0.8 [1,0.7,0.9,0.85,0.65,1,0.45,0.85,0.95,0.65]
recall
0.8 [1,0.55,1,0.8,0.75,0.9,0.7,0.95,1,0.35]
recall
0.805 [0.95,0.65,0.85,0.9,0.75,0.9,0.55,0.95,0.9,0.65]
recall
0.85 [1,0.75,1,0.9,0.75,0.9,0.65,0.95,0.8,0.8]
recall
0.81 [1,0.7,1,0.95,0.75,0.8,0.35,0.95,1,0.6]
recall
0.76 [1,0.8,0.85,0.65,0.7,0.85,0.5,0.95,0.9,0.4]
relative_absolute_error
0.335593
relative_absolute_error
0.342737
relative_absolute_error
0.321726
relative_absolute_error
0.344084
relative_absolute_error
0.317063
relative_absolute_error
0.299304
relative_absolute_error
0.310205
relative_absolute_error
0.284068
relative_absolute_error
0.296265
relative_absolute_error
0.334703
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
0.177263
root_mean_squared_error
0.182809
root_mean_squared_error
0.174806
root_mean_squared_error
0.178461
root_mean_squared_error
0.169821
root_mean_squared_error
0.161547
root_mean_squared_error
0.169417
root_mean_squared_error
0.153674
root_mean_squared_error
0.162543
root_mean_squared_error
0.177481
root_relative_squared_error
0.590878
root_relative_squared_error
0.609364
root_relative_squared_error
0.582688
root_relative_squared_error
0.594868
root_relative_squared_error
0.566071
root_relative_squared_error
0.538489
root_relative_squared_error
0.564724
root_relative_squared_error
0.512247
root_relative_squared_error
0.541811
root_relative_squared_error
0.591604
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
4090
usercpu_time_millis
3040
usercpu_time_millis
3370
usercpu_time_millis
3070
usercpu_time_millis
3150
usercpu_time_millis
3320
usercpu_time_millis
3240
usercpu_time_millis
3150
usercpu_time_millis
3570
usercpu_time_millis
3390
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
4090
usercpu_time_millis_training
3040
usercpu_time_millis_training
3370
usercpu_time_millis_training
3070
usercpu_time_millis_training
3150
usercpu_time_millis_training
3320
usercpu_time_millis_training
3240
usercpu_time_millis_training
3150
usercpu_time_millis_training
3570
usercpu_time_millis_training
3390