Run
51811

Run 51811

Task 1720 (Learning Curve) car Uploaded 07-11-2014 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.MultiBoostAB_REPTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001
weka.MultiBoostAB_REPTree(2)_C3
weka.MultiBoostAB_REPTree(2)_P100
weka.MultiBoostAB_REPTree(2)_S1
weka.MultiBoostAB_REPTree(2)_I10
weka.MultiBoostAB_REPTree(2)_Wweka.classifiers.trees.REPTree

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
0.9907 ± 0.0046
Per class
Build CPU time
0.0088
Build memory
2108062620.4364
F measure
0.9308 ± 0.0206
Per class
Kappa
0.8502 ± 0.0419
KB relative information score
0.8252 ± 0.0539
Mean absolute error
0.0357 ± 0.0099
Mean prior absolute error
0.229 ± 0.0007
Number of instances
1728
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9322 ± 0.0228
Per class
Predictive accuracy
0.9311 ± 0.0193
Prior entropy
1.2058 ± 0.0093
Recall
0.9311 ± 0.0193
Per class
Relative absolute error
0.1559 ± 0.0431
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.1766 ± 0.0294
Root relative squared error
0.5222 ± 0.0868
SciMark benchmark
1914.93