DEVELOPMENT... OpenML
Run
120149

Run 120149

Task 242 (Supervised Classification) mfeat-factors 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
0.9909
Per class
Build CPU time
972.534
Build memory
926911312
F measure
0.9697
Per class
Kappa
0.9663
KB relative information score
639.0839
Mean absolute error
0.0061
Mean prior absolute error
0.18
Number of instances
660
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9702
Per class
Predictive accuracy
0.9697
Prior entropy
3.3219
Recall
0.9697
Per class
Relative absolute error
0.0337
Root mean prior squared error
0.3
Root mean squared error
0.0778
Root relative squared error
0.2595
SciMark benchmark
934.8107