Run
54644

Run 54644

Task 1730 (Learning Curve) credit-g Uploaded 09-11-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


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
0.7212 ± 0.0399
Per class
Build CPU time
0.0054
Build memory
688730844.6222
F measure
0.6894 ± 0.0536
Per class
Kappa
0.2299 ± 0.135
KB relative information score
0.1072 ± 0.0407
Mean absolute error
0.3641 ± 0.0122
Mean prior absolute error
0.4202
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.6898 ± 0.0599
Per class
Predictive accuracy
0.716 ± 0.0433
Prior entropy
0.8813
Recall
0.716 ± 0.0433
Per class
Relative absolute error
0.8665 ± 0.0291
Root mean prior squared error
0.4583
Root mean squared error
0.4305 ± 0.014
Root relative squared error
0.9395 ± 0.0307
SciMark benchmark
1633.8128