DEVELOPMENT... OpenML
Run
120026

Run 120026

Task 3923 (Supervised Classification) datatrieve 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
0.584
Per class
Build CPU time
0.7858
Build memory
700185332.8
F measure
0.8664
Per class
Kappa
0.1195
KB relative information score
-15.9752
Mean absolute error
0.1315
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8637
Per class
Predictive accuracy
0.8692
Prior entropy
0.4395
Recall
0.8692
Per class
Relative absolute error
0.8211
Root mean prior squared error
0.2784
Root mean squared error
0.3576
Root relative squared error
1.2846
SciMark benchmark
923.3659