DEVELOPMENT... OpenML
Run
136968

Run 136968

Task 3874 (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
0.9172
Per class
Build CPU time
0.0056
Build memory
513947877.1429
F measure
0.9223
Per class
Kappa
0.8406
KB relative information score
282.2549
Mean absolute error
0.0774
Mean prior absolute error
0.489
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
0.923
Per class
Predictive accuracy
0.9226
Prior entropy
0.9842
Recall
0.9226
Per class
Relative absolute error
0.1582
Root mean prior squared error
0.4944
Root mean squared error
0.2782
Root relative squared error
0.5626
SciMark benchmark
926.507