DEVELOPMENT... OpenML
Run
116897

Run 116897

Task 38 (Supervised Classification) ecoli Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LADTree(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_LADTree(2)_I80
weka.AdaBoostM1_LADTree(2)_P100
weka.AdaBoostM1_LADTree(2)_S1
weka.AdaBoostM1_LADTree(2)_Wweka.classifiers.trees.LADTree
weka.LADTree(2)_B10

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
0.9451
Per class
Build CPU time
4.2431
Build memory
767694799.4286
F measure
0.8499
Per class
Kappa
0.7981
KB relative information score
255.6584
Mean absolute error
0.0369
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
0.8464
Per class
Predictive accuracy
0.8542
Prior entropy
2.2353
Recall
0.8542
Per class
Relative absolute error
0.2021
Root mean prior squared error
0.3016
Root mean squared error
0.1861
Root relative squared error
0.617
SciMark benchmark
914.1182