580024
1
Jan van Rijn
14
Supervised Classification
3910
weka.AdaBoostM1_IBk(5)
6353
weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 10 -W weka.classifiers.lazy.IBk -- -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
K
1
1721
W
0
1721
A
true
1721
P
100
3910
S
1
3910
I
10
3910
W
weka.classifiers.lazy.IBk
3910
weka
weka_3.7.13
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
2002876
description
https://api.openml.org/data/download/2002876/weka_generated_run5305365509371125350.xml
-1
2002878
model_readable
https://api.openml.org/data/download/2002878/WekaModel_weka.classifiers.meta.AdaBoostM1464890444870362190.model
-1
2002877
model_serialized
https://api.openml.org/data/download/2002877/WekaSerialized_weka.classifiers.meta.AdaBoostM17803705977438424283.model
-1
2002879
predictions
https://api.openml.org/data/download/2002879/weka_generated_predictions2671685934502824651.arff
area_under_roc_curve
0.889659 [0.999722,0.884939,0.968678,0.919617,0.920989,0.920111,0.69145,0.924867,0.987522,0.678694]
average_cost
0
f_measure
0.802734 [0.997506,0.757647,0.956743,0.889474,0.849383,0.89418,0.442786,0.846715,0.967901,0.425]
kappa
0.779444
kb_relative_information_score
1581.462587
mean_absolute_error
0.040474
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
os_information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
precision
0.805836 [0.995025,0.715556,0.974093,0.938889,0.839024,0.949438,0.440594,0.824645,0.956098,0.425]
predictive_accuracy
0.8015
prior_entropy
3.321928
recall
0.8015 [1,0.805,0.94,0.845,0.86,0.845,0.445,0.87,0.98,0.425]
relative_absolute_error
0.224855
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.198705
root_relative_squared_error
0.66235
scimark_benchmark
1622.541369 [927.7875768212957, 1156.6357358668909, 579.9307610530151, 1506.5747043863128, 3941.778068403907]
total_cost
0
usercpu_time_millis
2610
usercpu_time_millis_testing
1310
usercpu_time_millis_training
1300
area_under_roc_curve
0.883889 [1,0.928056,0.972361,0.900556,0.886667,0.922361,0.626944,0.889444,1,0.7125]
area_under_roc_curve
0.886722 [1,0.914306,0.975139,0.900556,0.867361,0.897778,0.693194,0.96125,0.969583,0.688056]
area_under_roc_curve
0.9 [1,0.886111,0.975,0.875,0.955556,0.95,0.675,0.966667,1,0.716667]
area_under_roc_curve
0.9 [1,0.883333,0.975,0.941667,0.963889,0.9,0.811111,0.894444,0.975,0.655556]
area_under_roc_curve
0.872222 [1,0.780556,0.95,0.894444,0.941667,0.891667,0.716667,0.908333,0.997222,0.641667]
area_under_roc_curve
0.897222 [0.997222,0.905556,1,0.847222,0.925,0.972222,0.65,0.936111,0.997222,0.741667]
area_under_roc_curve
0.903222 [1,0.900417,0.950278,0.972361,0.944722,0.925,0.770556,0.914306,0.997222,0.657361]
area_under_roc_curve
0.894444 [1,0.861111,0.997222,0.969444,0.863889,0.922222,0.741667,0.916667,0.972222,0.7]
area_under_roc_curve
0.894444 [1,0.883333,0.975,0.994444,0.966667,0.85,0.619444,0.969444,1,0.686111]
area_under_roc_curve
0.864556 [1,0.905972,0.917083,0.900556,0.895,0.969583,0.610278,0.892222,0.966806,0.588056]
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
0.789412 [1,0.782609,0.95,0.888889,0.780488,0.894737,0.342857,0.8,1,0.454545]
f_measure
0.804187 [1,0.829268,0.974359,0.888889,0.789474,0.864865,0.45,0.863636,0.926829,0.454545]
f_measure
0.819883 [1,0.780488,0.974359,0.857143,0.826087,0.947368,0.432432,0.904762,1,0.47619]
f_measure
0.819848 [1,0.761905,0.974359,0.878049,0.883721,0.888889,0.583333,0.842105,0.974359,0.411765]
f_measure
0.770489 [1,0.615385,0.947368,0.842105,0.878049,0.820513,0.47619,0.790698,0.97561,0.358974]
f_measure
0.813059 [0.97561,0.772727,1,0.8,0.918919,0.95,0.388889,0.837209,0.97561,0.511628]
f_measure
0.82302 [1,0.73913,0.947368,0.95,0.9,0.918919,0.55814,0.829268,0.97561,0.411765]
f_measure
0.810172 [1,0.75,0.97561,0.926829,0.769231,0.894737,0.511628,0.85,0.95,0.473684]
f_measure
0.808669 [1,0.761905,0.974359,0.952381,0.904762,0.823529,0.324324,0.926829,1,0.418605]
f_measure
0.755492 [1,0.772727,0.85,0.888889,0.842105,0.926829,0.292683,0.820513,0.904762,0.25641]
kappa
0.766667
kappa
0.777778
kappa
0.8
kappa
0.8
kappa
0.744444
kappa
0.794444
kappa
0.805556
kappa
0.788889
kappa
0.788889
kappa
0.727778
kb_relative_information_score
155.747315
kb_relative_information_score
157.832821
kb_relative_information_score
162.006353
kb_relative_information_score
162.006353
kb_relative_information_score
151.572823
kb_relative_information_score
160.963
kb_relative_information_score
163.050786
kb_relative_information_score
159.919647
kb_relative_information_score
159.919647
kb_relative_information_score
148.443844
mean_absolute_error
0.04276
mean_absolute_error
0.040773
mean_absolute_error
0.036795
mean_absolute_error
0.036795
mean_absolute_error
0.04674
mean_absolute_error
0.03779
mean_absolute_error
0.035798
mean_absolute_error
0.038784
mean_absolute_error
0.038784
mean_absolute_error
0.049721
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
0.796532 [1,0.692308,0.95,1,0.761905,0.944444,0.4,0.8,1,0.416667]
precision
0.814713 [1,0.809524,1,1,0.833333,0.941176,0.45,0.791667,0.904762,0.416667]
precision
0.828144 [1,0.761905,1,1,0.730769,1,0.470588,0.863636,1,0.454545]
precision
0.829939 [1,0.727273,1,0.857143,0.826087,1,0.5,0.888889,1,0.5]
precision
0.773419 [1,0.631579,1,0.888889,0.857143,0.842105,0.454545,0.73913,0.952381,0.368421]
precision
0.81948 [0.952381,0.708333,1,0.933333,1,0.95,0.4375,0.782609,0.952381,0.478261]
precision
0.828749 [1,0.653846,1,0.95,0.9,1,0.521739,0.809524,0.952381,0.5]
precision
0.811932 [1,0.75,0.952381,0.904762,0.789474,0.944444,0.478261,0.85,0.95,0.5]
precision
0.814901 [1,0.727273,1,0.909091,0.863636,1,0.352941,0.904762,1,0.391304]
precision
0.76066 [1,0.708333,0.85,1,0.888889,0.904762,0.285714,0.842105,0.863636,0.263158]
predictive_accuracy
0.79
predictive_accuracy
0.8
predictive_accuracy
0.82
predictive_accuracy
0.82
predictive_accuracy
0.77
predictive_accuracy
0.815
predictive_accuracy
0.825
predictive_accuracy
0.81
predictive_accuracy
0.81
predictive_accuracy
0.755
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
0.79 [1,0.9,0.95,0.8,0.8,0.85,0.3,0.8,1,0.5]
recall
0.8 [1,0.85,0.95,0.8,0.75,0.8,0.45,0.95,0.95,0.5]
recall
0.82 [1,0.8,0.95,0.75,0.95,0.9,0.4,0.95,1,0.5]
recall
0.82 [1,0.8,0.95,0.9,0.95,0.8,0.7,0.8,0.95,0.35]
recall
0.77 [1,0.6,0.9,0.8,0.9,0.8,0.5,0.85,1,0.35]
recall
0.815 [1,0.85,1,0.7,0.85,0.95,0.35,0.9,1,0.55]
recall
0.825 [1,0.85,0.9,0.95,0.9,0.85,0.6,0.85,1,0.35]
recall
0.81 [1,0.75,1,0.95,0.75,0.85,0.55,0.85,0.95,0.45]
recall
0.81 [1,0.8,0.95,1,0.95,0.7,0.3,0.95,1,0.45]
recall
0.755 [1,0.85,0.85,0.8,0.8,0.95,0.3,0.8,0.95,0.25]
relative_absolute_error
0.237553
relative_absolute_error
0.226518
relative_absolute_error
0.204417
relative_absolute_error
0.204417
relative_absolute_error
0.259666
relative_absolute_error
0.209942
relative_absolute_error
0.198879
relative_absolute_error
0.215467
relative_absolute_error
0.215467
relative_absolute_error
0.276227
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
0.204379
root_mean_squared_error
0.199461
root_mean_squared_error
0.189219
root_mean_squared_error
0.189219
root_mean_squared_error
0.213889
root_mean_squared_error
0.191829
root_mean_squared_error
0.186573
root_mean_squared_error
0.194404
root_mean_squared_error
0.194404
root_mean_squared_error
0.220753
root_relative_squared_error
0.681263
root_relative_squared_error
0.664869
root_relative_squared_error
0.63073
root_relative_squared_error
0.63073
root_relative_squared_error
0.712964
root_relative_squared_error
0.63943
root_relative_squared_error
0.621909
root_relative_squared_error
0.648013
root_relative_squared_error
0.648013
root_relative_squared_error
0.735845
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
1390
usercpu_time_millis
1250
usercpu_time_millis
1200
usercpu_time_millis
1260
usercpu_time_millis
1160
usercpu_time_millis
890
usercpu_time_millis
880
usercpu_time_millis
880
usercpu_time_millis
1010
usercpu_time_millis
950
usercpu_time_millis_testing
210
usercpu_time_millis_testing
150
usercpu_time_millis_testing
190
usercpu_time_millis_testing
190
usercpu_time_millis_testing
140
usercpu_time_millis_testing
140
usercpu_time_millis_testing
140
usercpu_time_millis_testing
140
usercpu_time_millis_testing
190
usercpu_time_millis_testing
130
usercpu_time_millis_training
1180
usercpu_time_millis_training
1100
usercpu_time_millis_training
1010
usercpu_time_millis_training
1070
usercpu_time_millis_training
1020
usercpu_time_millis_training
750
usercpu_time_millis_training
740
usercpu_time_millis_training
740
usercpu_time_millis_training
820
usercpu_time_millis_training
820