DEVELOPMENT... OpenML
Run
131059

Run 131059

Task 38 (Supervised Classification) ecoli Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_RandomForest(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_RandomForest(2)_I160
weka.AdaBoostM1_RandomForest(2)_P100
weka.AdaBoostM1_RandomForest(2)_S1
weka.AdaBoostM1_RandomForest(2)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(2)_I100
weka.RandomForest(2)_K0
weka.RandomForest(2)_S1
weka.RandomForest(2)_num-slots1

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
0.9294
Per class
Build CPU time
4.4125
Build memory
940285605.3333
F measure
0.8482
Per class
Kappa
0.7982
KB relative information score
247.6718
Mean absolute error
0.0509
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
0.8433
Per class
Predictive accuracy
0.8542
Prior entropy
2.2353
Recall
0.8542
Per class
Relative absolute error
0.2784
Root mean prior squared error
0.3016
Root mean squared error
0.1827
Root relative squared error
0.6059
SciMark benchmark
937.5757