DEVELOPMENT... OpenML
Run
121114

Run 121114

Task 3905 (Supervised Classification) mc2 Uploaded 11-12-2014 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)_I40
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
0.7358
Per class
Build CPU time
5.2769
Build memory
2127488450.3354
F measure
0.731
Per class
Kappa
0.3719
KB relative information score
59.5014
Mean absolute error
0.262
Mean prior absolute error
0.4381
Number of instances
161
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.729
Per class
Predictive accuracy
0.7391
Prior entropy
0.9099
Recall
0.7391
Per class
Relative absolute error
0.5981
Root mean prior squared error
0.4676
Root mean squared error
0.4768
Root relative squared error
1.0196
SciMark benchmark
931.9671