DEVELOPMENT... OpenML
Run
120524

Run 120524

Task 3712 (Supervised Classification) wind 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
0.9025
Per class
Build CPU time
215.7264
Build memory
232084958.3766
F measure
0.8499
Per class
Kappa
0.6984
KB relative information score
4606.0794
Mean absolute error
0.1486
Mean prior absolute error
0.4979
Number of instances
6574
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8499
Per class
Predictive accuracy
0.85
Prior entropy
0.9969
Recall
0.85
Per class
Relative absolute error
0.2985
Root mean prior squared error
0.4989
Root mean squared error
0.3744
Root relative squared error
0.7503
SciMark benchmark
938.1146