DEVELOPMENT... OpenML
Run
136554

Run 136554

Task 1802 (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
0.85
Per class
Build CPU time
0.0058
Build memory
731258472
F measure
0.76
Per class
Kappa
0.6715
KB relative information score
1072.6909
Mean absolute error
0.06
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
0.7607
Per class
Predictive accuracy
0.7601
Prior entropy
2.2353
Recall
0.7601
Per class
Relative absolute error
0.3281
Root mean prior squared error
0.3016
Root mean squared error
0.2449
Root relative squared error
0.8119
SciMark benchmark
927.1482