DEVELOPMENT... OpenML
Run
95264

Run 95264

Task 38 (Supervised Classification) ecoli Uploaded 08-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_DecisionStump(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_DecisionStump(2)_I10
weka.AdaBoostM1_DecisionStump(2)_P100
weka.AdaBoostM1_DecisionStump(2)_S1
weka.AdaBoostM1_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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
0.7525
Per class
Build CPU time
0.003
Build memory
150731001.1905
F measure
0.5111
Per class
Kappa
0.449
KB relative information score
125.525
Mean absolute error
0.1292
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
0.4228
Per class
Predictive accuracy
0.6458
Prior entropy
2.2353
Recall
0.6458
Per class
Relative absolute error
0.7066
Root mean prior squared error
0.3016
Root mean squared error
0.2551
Root relative squared error
0.8458
SciMark benchmark
945.1122