Run
51022

Run 51022

Task 1713 (Learning Curve) mfeat-fourier 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
0.7226 ± 0.006
Per class
Build CPU time
0.0706
Build memory
789772353.6
Kappa
0.1044 ± 0.0057
KB relative information score
0.2397 ± 0.0041
Mean absolute error
0.1653 ± 0.0004
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Predictive accuracy
0.194 ± 0.0052
Prior entropy
3.3219
Recall
0.194 ± 0.0052
Per class
Relative absolute error
0.9181 ± 0.0023
Root mean prior squared error
0.3
Root mean squared error
0.2875 ± 0.0008
Root relative squared error
0.9585 ± 0.0026
SciMark benchmark
1885.6155