DEVELOPMENT... OpenML
Run
120007

Run 120007

Task 3901 (Supervised Classification) jEdit_4.2_4.3 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
0.6958
Per class
Build CPU time
1.943
Build memory
1093289856.8455
F measure
0.6335
Per class
Kappa
0.2579
KB relative information score
100.7589
Mean absolute error
0.3567
Mean prior absolute error
0.4944
Number of instances
369
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6332
Per class
Predictive accuracy
0.6341
Prior entropy
0.992
Recall
0.6341
Per class
Relative absolute error
0.7215
Root mean prior squared error
0.4972
Root mean squared error
0.5658
Root relative squared error
1.1379
SciMark benchmark
924.6733