DEVELOPMENT... OpenML
Run
121447

Run 121447

Task 3622 (Supervised Classification) autoPrice 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)_I80
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
0.9487
Per class
Build CPU time
5.444
Build memory
1052131484.7296
F measure
0.9559
Per class
Kappa
0.9014
KB relative information score
142.4106
Mean absolute error
0.044
Mean prior absolute error
0.4492
Number of instances
159
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9559
Per class
Predictive accuracy
0.956
Prior entropy
0.9264
Recall
0.956
Per class
Relative absolute error
0.098
Root mean prior squared error
0.4736
Root mean squared error
0.2098
Root relative squared error
0.443
SciMark benchmark
945.0532