Run
121029

Run 121029

Task 3809 (Supervised Classification) visualizing_ethanol Uploaded 11-12-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_LMT(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LMT(2)_I40
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.4682
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.5884
Cross-validation details (10-fold Crossvalidation)
Build memory
916276502.9091
Cross-validation details (10-fold Crossvalidation)
F measure
0.4863
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0196
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-2.9707
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.5178
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4997
Cross-validation details (10-fold Crossvalidation)
Number of instances
88
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4902
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4886
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9996
Cross-validation details (10-fold Crossvalidation)
Recall
0.4886
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.036
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4999
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.584
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1684
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.5885