Run
51032

Run 51032

Task 1721 (Learning Curve) mfeat-zernike Uploaded 06-11-2014 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.Bagging_DecisionStump(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_DecisionStump(2)_I10
weka.Bagging_DecisionStump(2)_P100
weka.Bagging_DecisionStump(2)_S1
weka.Bagging_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.Bagging_DecisionStump(2)_num-slots1

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
0.6793 ± 0.0116
Per class
Build CPU time
0.0464
Build memory
638145282.4
Kappa
0.1056 ± 0.0094
KB relative information score
0.1867 ± 0.0038
Mean absolute error
0.1691 ± 0.0004
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
0.195 ± 0.0085
Prior entropy
3.3219
Recall
0.195 ± 0.0085
Per class
Relative absolute error
0.9392 ± 0.0021
Root mean prior squared error
0.3
Root mean squared error
0.2906 ± 0.0008
Root relative squared error
0.9686 ± 0.0025
SciMark benchmark
1645.1824