DEVELOPMENT... OpenML
Run
121749

Run 121749

Task 38 (Supervised Classification) ecoli Uploaded 12-12-2014 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)_I160
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
0.9092
Per class
Build CPU time
77.1672
Build memory
82573361.9524
F measure
0.8502
Per class
Kappa
0.8021
KB relative information score
257.8533
Mean absolute error
0.036
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
0.8457
Per class
Predictive accuracy
0.8571
Prior entropy
2.2353
Recall
0.8571
Per class
Relative absolute error
0.1969
Root mean prior squared error
0.3016
Root mean squared error
0.1892
Root relative squared error
0.6274
SciMark benchmark
931.6517