DEVELOPMENT... OpenML
Run
135757

Run 135757

Task 3854 (Supervised Classification) car Uploaded 28-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomTree(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_RandomTree(2)_I40
weka.AdaBoostM1_RandomTree(2)_P100
weka.AdaBoostM1_RandomTree(2)_S1
weka.AdaBoostM1_RandomTree(2)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.9407
Per class
Build CPU time
0.0045
Build memory
2112077891.6667
F measure
0.8835
Per class
Kappa
0.7206
KB relative information score
1291.4644
Mean absolute error
0.1013
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
0.883
Per class
Predictive accuracy
0.8843
Prior entropy
0.8813
Recall
0.8843
Per class
Relative absolute error
0.2412
Root mean prior squared error
0.4582
Root mean squared error
0.2764
Root relative squared error
0.6033
SciMark benchmark
934.6076