DEVELOPMENT... OpenML
Run
117399

Run 117399

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)_I40
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
0.9494
Per class
Build CPU time
1.8748
Build memory
150641281.2857
F measure
0.8345
Per class
Kappa
0.7778
KB relative information score
252.6172
Mean absolute error
0.0399
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
0.8301
Per class
Predictive accuracy
0.8393
Prior entropy
2.2353
Recall
0.8393
Per class
Relative absolute error
0.2181
Root mean prior squared error
0.3016
Root mean squared error
0.1904
Root relative squared error
0.6312
SciMark benchmark
924.2473