Run
54622

Run 54622

Task 1717 (Learning Curve) mfeat-morphological Uploaded 09-11-2014 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.

19 Evaluation measures

Area under ROC curve
0.7581 ± 0.003
Per class
Build CPU time
0.001
Build memory
318396265.7455
Kappa
0.1106 ± 0.0018
KB relative information score
0.2861 ± 0.0017
Mean absolute error
0.1606 ± 0.0002
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.1995 ± 0.0016
Prior entropy
3.3219
Recall
0.1995 ± 0.0016
Per class
Relative absolute error
0.8923 ± 0.0011
Root mean prior squared error
0.3
Root mean squared error
0.2834 ± 0.0003
Root relative squared error
0.9446 ± 0.0012
SciMark benchmark
1633.8128