DEVELOPMENT... OpenML
Run
120024

Run 120024

Task 3921 (Supervised Classification) jEdit_4.0_4.2 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
0.7888
Per class
Build CPU time
1.7152
Build memory
651168552.4088
F measure
0.7226
Per class
Kappa
0.4455
KB relative information score
118.3845
Mean absolute error
0.2845
Mean prior absolute error
0.4998
Number of instances
274
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7233
Per class
Predictive accuracy
0.7226
Prior entropy
0.9997
Recall
0.7226
Per class
Relative absolute error
0.5692
Root mean prior squared error
0.4999
Root mean squared error
0.5121
Root relative squared error
1.0245
SciMark benchmark
923.3659