DEVELOPMENT... OpenML
Run
117334

Run 117334

Task 3874 (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
0.9536
Per class
Build CPU time
1.3475
Build memory
583178786.4286
F measure
0.9523
Per class
Kappa
0.9024
KB relative information score
303.3887
Mean absolute error
0.0468
Mean prior absolute error
0.489
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
0.9524
Per class
Predictive accuracy
0.9524
Prior entropy
0.9842
Recall
0.9524
Per class
Relative absolute error
0.0957
Root mean prior squared error
0.4944
Root mean squared error
0.2149
Root relative squared error
0.4346
SciMark benchmark
924.2473