DEVELOPMENT... OpenML
Run
119507

Run 119507

Task 11 (Supervised Classification) balance-scale Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LMT(2)_I10
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9821
Per class
Build CPU time
10.1579
Build memory
1140086223.9872
F measure
0.9216
Per class
Kappa
0.8583
KB relative information score
524.2215
Mean absolute error
0.0555
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9259
Per class
Predictive accuracy
0.9184
Prior entropy
1.3212
Recall
0.9184
Per class
Relative absolute error
0.1462
Root mean prior squared error
0.4356
Root mean squared error
0.2214
Root relative squared error
0.5082
SciMark benchmark
906.6607