DEVELOPMENT... OpenML
Run
131162

Run 131162

Task 1802 (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
0.9635
Per class
Build CPU time
0.0457
Build memory
1107176413.6
F measure
0.8506
Per class
Kappa
0.8024
KB relative information score
1191.8607
Mean absolute error
0.0624
Mean prior absolute error
0.1828
Number of instances
1680
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.846
Per class
Predictive accuracy
0.8577
Prior entropy
2.2353
Recall
0.8577
Per class
Relative absolute error
0.3413
Root mean prior squared error
0.3016
Root mean squared error
0.1715
Root relative squared error
0.5688
SciMark benchmark
937.5757