Run
61965

Run 61965

Task 1736 (Learning Curve) diabetes Uploaded 16-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.8029 ± 0.0469
Per class
Build CPU time
0.0061
Build memory
3057515664.5
F measure
0.7398 ± 0.0331
Per class
Kappa
0.4209 ± 0.0747
KB relative information score
0.3071 ± 0.0534
Mean absolute error
0.3171 ± 0.0221
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7383 ± 0.0331
Per class
Predictive accuracy
0.7435 ± 0.0316
Prior entropy
0.9331 ± 0.0046
Recall
0.7435 ± 0.0316
Per class
Relative absolute error
0.6977 ± 0.048
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4162 ± 0.0266
Root relative squared error
0.8732 ± 0.0552
SciMark benchmark
1559.5381