Run
144438

Run 144438

Task 3741 (Supervised Classification) fri_c2_250_50 Uploaded 31-01-2015 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_ADTree(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.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

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.

22 Evaluation measures

Area under ROC curve
0.9007
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8274
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6509
Cross-validation details (10-fold Crossvalidation)
KB relative information score
159.5054
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1792
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4954
Cross-validation details (10-fold Crossvalidation)
Number of instances
250
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
0.8281
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.828
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9934
Cross-validation details (10-fold Crossvalidation)
Recall
0.828
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3617
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4977
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3936
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7909
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
945.6434
UserCPU time millis
590
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
590
Cross-validation details (10-fold Crossvalidation)