DEVELOPMENT... OpenML
Run
120530

Run 120530

Task 3835 (Supervised Classification) squash-stored 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)_I20
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
0.8696
Per class
Build CPU time
0.5831
Build memory
1188826302.3077
F measure
0.7892
Per class
Kappa
0.5769
KB relative information score
29.7486
Mean absolute error
0.2093
Mean prior absolute error
0.4936
Number of instances
52
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7951
Per class
Predictive accuracy
0.7885
Prior entropy
0.9911
Recall
0.7885
Per class
Relative absolute error
0.424
Root mean prior squared error
0.4967
Root mean squared error
0.4537
Root relative squared error
0.9135
SciMark benchmark
907.4175