DEVELOPMENT... OpenML
Run
118007

Run 118007

Task 1802 (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)_I20
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
0.9413
Per class
Build CPU time
0.5604
Build memory
190250823.2
F measure
0.8385
Per class
Kappa
0.7841
KB relative information score
1256.6084
Mean absolute error
0.0398
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
0.8338
Per class
Predictive accuracy
0.844
Prior entropy
2.2353
Recall
0.844
Per class
Relative absolute error
0.2176
Root mean prior squared error
0.3016
Root mean squared error
0.192
Root relative squared error
0.6366
SciMark benchmark
942.5053