Run
53605

Run 53605

Task 1736 (Learning Curve) diabetes Uploaded 08-11-2014 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_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(2)_C3
weka.MultiBoostAB_DecisionStump(2)_I10
weka.MultiBoostAB_DecisionStump(2)_P100
weka.MultiBoostAB_DecisionStump(2)_S1
weka.MultiBoostAB_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
0.7679 ± 0.0621
Per class
Build CPU time
0.0045
Build memory
7952100830.3
F measure
0.7389 ± 0.0619
Per class
Kappa
0.4239 ± 0.1333
KB relative information score
0.3877 ± 0.1159
Mean absolute error
0.2696 ± 0.0481
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.7383 ± 0.0585
Per class
Predictive accuracy
0.7396 ± 0.0622
Prior entropy
0.9331 ± 0.0046
Recall
0.7396 ± 0.0622
Per class
Relative absolute error
0.5932 ± 0.1054
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4869 ± 0.0621
Root relative squared error
1.0215 ± 0.1299
SciMark benchmark
1676.6751