DEVELOPMENT... OpenML
Run
121809

Run 121809

Task 283 (Supervised Classification) vehicle Uploaded 12-12-2014 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)_I160
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
0.9041
Per class
Build CPU time
441.318
Build memory
2871494224
F measure
0.8503
Per class
Kappa
0.7984
KB relative information score
228.4209
Mean absolute error
0.0751
Mean prior absolute error
0.3748
Number of instances
279
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8517
Per class
Predictive accuracy
0.8495
Prior entropy
1.9991
Recall
0.8495
Per class
Relative absolute error
0.2003
Root mean prior squared error
0.4328
Root mean squared error
0.2735
Root relative squared error
0.632
SciMark benchmark
935.6292