DEVELOPMENT... OpenML
Run
120718

Run 120718

Task 1802 (Supervised Classification) ecoli Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I40
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.9193
Per class
Build CPU time
9.6992
Build memory
36463188.8
F measure
0.8387
Per class
Kappa
0.7836
KB relative information score
1272.6261
Mean absolute error
0.039
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
0.8353
Per class
Predictive accuracy
0.8435
Prior entropy
2.2353
Recall
0.8435
Per class
Relative absolute error
0.2134
Root mean prior squared error
0.3016
Root mean squared error
0.1956
Root relative squared error
0.6484
SciMark benchmark
886.6397