DEVELOPMENT... OpenML
Run
121029

Run 121029

Task 3809 (Supervised Classification) visualizing_ethanol 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
0.4682
Per class
Build CPU time
0.5884
Build memory
916276502.9091
F measure
0.4863
Per class
Kappa
-0.0196
KB relative information score
-2.9707
Mean absolute error
0.5178
Mean prior absolute error
0.4997
Number of instances
88
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4902
Per class
Predictive accuracy
0.4886
Prior entropy
0.9996
Recall
0.4886
Per class
Relative absolute error
1.036
Root mean prior squared error
0.4999
Root mean squared error
0.584
Root relative squared error
1.1684
SciMark benchmark
945.5885