DEVELOPMENT... OpenML
Run
120571

Run 120571

Task 3898 (Supervised Classification) kc1-top5 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
0.6556
Per class
Build CPU time
3.0745
Build memory
1647304006.2897
F measure
0.9262
Per class
Kappa
0.3128
KB relative information score
-8.0046
Mean absolute error
0.0784
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9285
Per class
Predictive accuracy
0.9241
Prior entropy
0.3323
Recall
0.9241
Per class
Relative absolute error
0.7151
Root mean prior squared error
0.2284
Root mean squared error
0.2762
Root relative squared error
1.2092
SciMark benchmark
931.9671