DEVELOPMENT... OpenML
Run
122255

Run 122255

Task 3901 (Supervised Classification) jEdit_4.2_4.3 Uploaded 14-12-2014 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)_I160
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
0.6765
Per class
Build CPU time
41.06
Build memory
91131113.2575
F measure
0.6624
Per class
Kappa
0.3156
KB relative information score
116.502
Mean absolute error
0.3366
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
0.6623
Per class
Predictive accuracy
0.664
Prior entropy
0.992
Recall
0.664
Per class
Relative absolute error
0.6809
Root mean prior squared error
0.4972
Root mean squared error
0.5769
Root relative squared error
1.1603
SciMark benchmark
942.7834