Run
61600

Run 61600

Task 1705 (Learning Curve) letter Uploaded 16-11-2014 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_J48(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_J48(2)_I10
weka.Bagging_J48(2)_P100
weka.Bagging_J48(2)_S1
weka.Bagging_J48(2)_Wweka.classifiers.trees.J48
weka.Bagging_J48(2)_num-slots1
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.9944 ± 0.0011
Per class
Build CPU time
2.0817
Build memory
1910800170.4444
F measure
0.9261 ± 0.0086
Per class
Kappa
0.9231 ± 0.009
KB relative information score
0.9181 ± 0.0041
Mean absolute error
0.012 ± 0.0004
Mean prior absolute error
0.074 ± 0
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9264 ± 0.0084
Per class
Predictive accuracy
0.9261 ± 0.0086
Prior entropy
4.6998 ± 0.0001
Recall
0.9261 ± 0.0086
Per class
Relative absolute error
0.162 ± 0.0059
Root mean prior squared error
0.1923 ± 0
Root mean squared error
0.0692 ± 0.002
Root relative squared error
0.3598 ± 0.0101
SciMark benchmark
1645.3141