DEVELOPMENT... OpenML
Run
119524

Run 119524

Task 38 (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)_I10
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
0.9481
Per class
Build CPU time
4.273
Build memory
1281428223.0714
F measure
0.8455
Per class
Kappa
0.7908
KB relative information score
255.9029
Mean absolute error
0.0387
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
0.8439
Per class
Predictive accuracy
0.8482
Prior entropy
2.2353
Recall
0.8482
Per class
Relative absolute error
0.2117
Root mean prior squared error
0.3016
Root mean squared error
0.1877
Root relative squared error
0.6224
SciMark benchmark
934.2858