Run
22650

Run 22650

Task 2079 (Supervised Classification) eucalyptus Uploaded 22-06-2014 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_RandomForest(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomForest(1)_C3
weka.MultiBoostAB_RandomForest(1)_I40
weka.MultiBoostAB_RandomForest(1)_P100
weka.MultiBoostAB_RandomForest(1)_S1
weka.MultiBoostAB_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.7577
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5897
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4724
Cross-validation details (10-fold Crossvalidation)
KB relative information score
377.2386
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1649
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
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
0.5942
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5883
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.5883
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5263
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4048
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.023
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
931.7465[550.9288379492025983.3911977944585480.2065271424506885.32253643874941758.8835103978397]