DEVELOPMENT... OpenML
Run
120165

Run 120165

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)_I20
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
0.9286
Per class
Build CPU time
4.4832
Build memory
620689704.8
F measure
0.8382
Per class
Kappa
0.7825
KB relative information score
1273.4675
Mean absolute error
0.0395
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
0.8355
Per class
Predictive accuracy
0.8423
Prior entropy
2.2353
Recall
0.8423
Per class
Relative absolute error
0.216
Root mean prior squared error
0.3016
Root mean squared error
0.1953
Root relative squared error
0.6475
SciMark benchmark
924.2473

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