DEVELOPMENT... OpenML
Run
121755

Run 121755

Task 47 (Supervised Classification) tae Uploaded 12-12-2014 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
0.8205
Per class
Build CPU time
1.7852
Build memory
1647030410.2252
F measure
0.6685
Per class
Kappa
0.503
KB relative information score
80.9223
Mean absolute error
0.2278
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6689
Per class
Predictive accuracy
0.6689
Prior entropy
1.5845
Recall
0.6689
Per class
Relative absolute error
0.5127
Root mean prior squared error
0.4713
Root mean squared error
0.4426
Root relative squared error
0.9391
SciMark benchmark
942.0692