DEVELOPMENT... OpenML
Run
136452

Run 136452

Task 38 (Supervised Classification) ecoli Uploaded 31-12-2014 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)_I160
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
0.8554
Per class
Build CPU time
0.005
Build memory
1318896834.7143
F measure
0.7695
Per class
Kappa
0.6851
KB relative information score
219.4709
Mean absolute error
0.0573
Mean prior absolute error
0.1828
Number of instances
336
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7705
Per class
Predictive accuracy
0.7708
Prior entropy
2.2353
Recall
0.7708
Per class
Relative absolute error
0.3134
Root mean prior squared error
0.3016
Root mean squared error
0.2394
Root relative squared error
0.7936
SciMark benchmark
915.3856