119707
2
Joaquin Vanschoren
14
Supervised Classification
411
weka.AdaBoostM1_LMT(2)
641
weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 10 -W weka.classifiers.trees.LMT -- -I -1 -M 15 -W 0.0
I
10
411
P
100
411
S
1
411
W
weka.classifiers.trees.LMT
411
I
-1
412
M
15
412
W
0.0
412
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
370190
description
https://api.openml.org/data/download/370190/weka_generated_run5561634618543944189.xml
-1
370193
model_readable
https://api.openml.org/data/download/370193/WekaModel_weka.classifiers.meta.AdaBoostM17451825301795446089.model
-1
370192
model_serialized
https://api.openml.org/data/download/370192/WekaSerialized_weka.classifiers.meta.AdaBoostM11453157376156764386.model
-1
370191
predictions
https://api.openml.org/data/download/370191/weka_generated_predictions2683912631296354807.arff
area_under_roc_curve
0.969905 [0.999343,0.937625,0.985487,0.974849,0.962889,0.991271,0.934221,0.989011,0.998692,0.925667]
average_cost
0
build_cpu_time
602.6513
build_memory
1283293386.4
f_measure
0.835863 [0.994975,0.767327,0.926209,0.869565,0.807018,0.92112,0.611374,0.893827,0.977215,0.59]
kappa
0.815556
kb_relative_information_score
1657.003713
mean_absolute_error
0.034868
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
0.838348 [1,0.759804,0.943005,0.890052,0.809045,0.937824,0.581081,0.882927,0.989744,0.59]
predictive_accuracy
0.834
prior_entropy
3.321928
recall
0.834 [0.99,0.775,0.91,0.85,0.805,0.905,0.645,0.905,0.965,0.59]
relative_absolute_error
0.193709
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.175782
root_relative_squared_error
0.58594
scimark_benchmark
924.673302 [518.6561651880337, 1000.7556336989805, 471.97440834681885, 883.2345206461015, 1748.7457828491113]
total_cost
0
area_under_roc_curve
0.974986 [1,0.956944,0.996528,0.952639,0.985556,0.999444,0.944722,0.994167,0.999722,0.920139]
area_under_roc_curve
0.966194 [1,0.905972,0.997222,0.974306,0.981667,0.960972,0.917917,0.9925,0.999722,0.931667]
area_under_roc_curve
0.971431 [1,0.943472,0.995556,0.945833,0.965556,0.993333,0.935833,0.983472,1,0.95125]
area_under_roc_curve
0.985667 [0.990833,0.988333,0.964167,0.998611,0.996389,0.994167,0.982222,0.998056,1,0.943889]
area_under_roc_curve
0.965597 [1,0.920417,0.999444,0.945278,0.979722,0.988611,0.924167,0.988472,1,0.909861]
area_under_roc_curve
0.964889 [1,0.906111,0.96625,0.956528,0.956111,0.9975,0.968056,0.996806,1,0.901528]
area_under_roc_curve
0.968833 [1,0.915556,0.966944,0.995833,0.950278,0.993611,0.944028,0.961528,1,0.960556]
area_under_roc_curve
0.975819 [1,0.956806,0.99125,0.996389,0.953611,0.9975,0.93875,0.989861,0.998889,0.935139]
area_under_roc_curve
0.971111 [1,0.930833,0.999722,0.997361,0.970417,0.989444,0.918472,0.997778,1,0.907083]
area_under_roc_curve
0.954806 [1,0.958889,0.978889,0.994444,0.9,0.999444,0.849722,0.991389,0.988611,0.886667]
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
592.228
build_cpu_time
628.543
build_cpu_time
572.912
build_cpu_time
581.792
build_cpu_time
601.963
build_cpu_time
614.703
build_cpu_time
645.744
build_cpu_time
573.566
build_cpu_time
627.038
build_cpu_time
588.024
build_memory
1732122360
build_memory
1274452944
build_memory
709334352
build_memory
752181280
build_memory
1867092000
build_memory
1703571952
build_memory
1550118264
build_memory
900637432
build_memory
1363359544
build_memory
980063736
f_measure
0.835586 [0.974359,0.772727,0.95,0.864865,0.809524,0.974359,0.652174,0.810811,0.97561,0.571429]
f_measure
0.791537 [1,0.7,0.857143,0.8,0.790698,0.878049,0.526316,0.842105,0.97561,0.545455]
f_measure
0.837382 [1,0.790698,0.947368,0.777778,0.769231,0.878049,0.634146,0.894737,1,0.681818]
f_measure
0.914132 [0.974359,0.894737,0.95,0.97561,0.930233,0.947368,0.790698,0.97561,1,0.702703]
f_measure
0.813776 [1,0.731707,0.95,0.857143,0.780488,0.842105,0.6,0.85,1,0.526316]
f_measure
0.833974 [1,0.682927,0.904762,0.820513,0.789474,0.9,0.73913,0.9,0.974359,0.628571]
f_measure
0.858888 [1,0.780488,0.918919,0.926829,0.820513,0.926829,0.7,0.883721,1,0.631579]
f_measure
0.838284 [1,0.736842,0.923077,0.842105,0.829268,0.974359,0.634146,0.904762,0.947368,0.590909]
f_measure
0.820521 [1,0.742857,0.97561,0.952381,0.756757,0.947368,0.4,0.930233,1,0.5]
f_measure
0.807879 [1,0.837209,0.878049,0.857143,0.777778,0.947368,0.425532,0.930233,0.888889,0.536585]
kappa
0.816667
kappa
0.766667
kappa
0.816667
kappa
0.905556
kappa
0.794444
kappa
0.816667
kappa
0.844444
kappa
0.816667
kappa
0.8
kappa
0.777778
kb_relative_information_score
166.254742
kb_relative_information_score
155.738384
kb_relative_information_score
166.396535
kb_relative_information_score
181.481634
kb_relative_information_score
160.83962
kb_relative_information_score
167.547758
kb_relative_information_score
171.128798
kb_relative_information_score
164.697771
kb_relative_information_score
163.099438
kb_relative_information_score
159.819034
mean_absolute_error
0.034244
mean_absolute_error
0.043836
mean_absolute_error
0.034581
mean_absolute_error
0.020992
mean_absolute_error
0.039579
mean_absolute_error
0.032855
mean_absolute_error
0.028993
mean_absolute_error
0.036006
mean_absolute_error
0.037167
mean_absolute_error
0.040422
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
0.845056 [1,0.708333,0.95,0.941176,0.772727,1,0.576923,0.882353,0.952381,0.666667]
precision
0.79931 [1,0.7,1,0.8,0.73913,0.857143,0.555556,0.888889,0.952381,0.5]
precision
0.844924 [1,0.73913,1,0.875,0.789474,0.857143,0.619048,0.944444,1,0.625]
precision
0.917261 [1,0.944444,0.95,0.952381,0.869565,1,0.73913,0.952381,1,0.764706]
precision
0.813882 [1,0.714286,0.95,0.818182,0.761905,0.888889,0.6,0.85,1,0.555556]
precision
0.839292 [1,0.666667,0.863636,0.842105,0.833333,0.9,0.653846,0.9,1,0.733333]
precision
0.860629 [1,0.761905,1,0.904762,0.842105,0.904762,0.7,0.826087,1,0.666667]
precision
0.844791 [1,0.777778,0.947368,0.888889,0.809524,1,0.619048,0.863636,1,0.541667]
precision
0.827957 [1,0.866667,0.952381,0.909091,0.823529,1,0.4,0.869565,1,0.458333]
precision
0.82785 [1,0.782609,0.857143,1,0.875,1,0.37037,0.869565,1,0.52381]
predictive_accuracy
0.835
predictive_accuracy
0.79
predictive_accuracy
0.835
predictive_accuracy
0.915
predictive_accuracy
0.815
predictive_accuracy
0.835
predictive_accuracy
0.86
predictive_accuracy
0.835
predictive_accuracy
0.82
predictive_accuracy
0.8
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
0.835 [0.95,0.85,0.95,0.8,0.85,0.95,0.75,0.75,1,0.5]
recall
0.79 [1,0.7,0.75,0.8,0.85,0.9,0.5,0.8,1,0.6]
recall
0.835 [1,0.85,0.9,0.7,0.75,0.9,0.65,0.85,1,0.75]
recall
0.915 [0.95,0.85,0.95,1,1,0.9,0.85,1,1,0.65]
recall
0.815 [1,0.75,0.95,0.9,0.8,0.8,0.6,0.85,1,0.5]
recall
0.835 [1,0.7,0.95,0.8,0.75,0.9,0.85,0.9,0.95,0.55]
recall
0.86 [1,0.8,0.85,0.95,0.8,0.95,0.7,0.95,1,0.6]
recall
0.835 [1,0.7,0.9,0.8,0.85,0.95,0.65,0.95,0.9,0.65]
recall
0.82 [1,0.65,1,1,0.7,0.9,0.4,1,1,0.55]
recall
0.8 [1,0.9,0.9,0.75,0.7,0.9,0.5,1,0.8,0.55]
relative_absolute_error
0.190247
relative_absolute_error
0.243534
relative_absolute_error
0.192118
relative_absolute_error
0.116623
relative_absolute_error
0.219881
relative_absolute_error
0.182531
relative_absolute_error
0.161072
relative_absolute_error
0.200033
relative_absolute_error
0.206484
relative_absolute_error
0.224569
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
0.173209
root_mean_squared_error
0.199301
root_mean_squared_error
0.174947
root_mean_squared_error
0.126982
root_mean_squared_error
0.188057
root_mean_squared_error
0.173504
root_mean_squared_error
0.160948
root_mean_squared_error
0.176046
root_mean_squared_error
0.182516
root_mean_squared_error
0.191996
root_relative_squared_error
0.577362
root_relative_squared_error
0.664337
root_relative_squared_error
0.583158
root_relative_squared_error
0.423274
root_relative_squared_error
0.626856
root_relative_squared_error
0.578345
root_relative_squared_error
0.536495
root_relative_squared_error
0.586821
root_relative_squared_error
0.608386
root_relative_squared_error
0.639986
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