DEVELOPMENT... OpenML
Run
119641

Run 119641

Task 2273 (Supervised Classification) meta_batchincremental.arff 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
0.7251
Per class
Build CPU time
1.8295
Build memory
673816840.6486
F measure
0.5969
Per class
Kappa
0.1799
KB relative information score
9.0416
Mean absolute error
0.2039
Mean prior absolute error
0.2519
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5996
Per class
Predictive accuracy
0.5946
Prior entropy
1.3842
Recall
0.5946
Per class
Relative absolute error
0.8095
Root mean prior squared error
0.3504
Root mean squared error
0.4255
Root relative squared error
1.2142
SciMark benchmark
933.1799