DEVELOPMENT... OpenML
Run
121659

Run 121659

Task 3854 (Supervised Classification) car 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
0.9996
Per class
Build CPU time
143.0275
Build memory
83192653.5741
F measure
0.9994
Per class
Kappa
0.9986
KB relative information score
1724.8904
Mean absolute error
0.0006
Mean prior absolute error
0.4199
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9994
Per class
Predictive accuracy
0.9994
Prior entropy
0.8813
Recall
0.9994
Per class
Relative absolute error
0.0014
Root mean prior squared error
0.4582
Root mean squared error
0.0241
Root relative squared error
0.0525
SciMark benchmark
935.1241