Run
64964

Run 64964

Task 1736 (Learning Curve) diabetes Uploaded 19-11-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_LWL_DecisionStump(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(2)_Atrue
weka.LWL_DecisionStump(2)_K-1
weka.LWL_DecisionStump(2)_U0
weka.LWL_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(2)_C3
weka.MultiBoostAB_LWL_DecisionStump(2)_P100
weka.MultiBoostAB_LWL_DecisionStump(2)_S1
weka.MultiBoostAB_LWL_DecisionStump(2)_I10
weka.MultiBoostAB_LWL_DecisionStump(2)_Wweka.classifiers.lazy.LWL

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
0.796 ± 0.0525
Per class
Build CPU time
4.1616
Build memory
382468202
F measure
0.7398 ± 0.0594
Per class
Kappa
0.4209 ± 0.1281
KB relative information score
0.4064 ± 0.1151
Mean absolute error
0.2599 ± 0.0483
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
768
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7383 ± 0.0556
Per class
Predictive accuracy
0.7435 ± 0.0584
Prior entropy
0.9331 ± 0.0046
Recall
0.7435 ± 0.0584
Per class
Relative absolute error
0.5718 ± 0.1059
Root mean prior squared error
0.4766 ± 0.0016
Root mean squared error
0.4779 ± 0.0608
Root relative squared error
1.0027 ± 0.1272
SciMark benchmark
943.0474