DEVELOPMENT... OpenML
Run
134033

Run 134033

Task 9 (Supervised Classification) autos 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)_I10
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
0.9265
Per class
Build CPU time
0.0086
Build memory
1176391022.2439
F measure
0.7999
Per class
Kappa
0.7387
KB relative information score
153.5317
Mean absolute error
0.0563
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8021
Per class
Predictive accuracy
0.8
Prior entropy
2.3268
Recall
0.8
Per class
Relative absolute error
0.2549
Root mean prior squared error
0.3318
Root mean squared error
0.2249
Root relative squared error
0.678
SciMark benchmark
946.9091