Run
18072

Run 18072

Task 10 (Supervised Classification) lymph Uploaded 10-06-2014 by Joaquin Vanschoren
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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)_I20
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
0.8759
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8396
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6985
Cross-validation details (10-fold Crossvalidation)
KB relative information score
93.1443
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0833
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2677
Cross-validation details (10-fold Crossvalidation)
Number of instances
148
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
0.8416
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8446
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2818
Cross-validation details (10-fold Crossvalidation)
Recall
0.8446
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3111
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3639
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2768
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7606
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
909.5432[559.4100779115328915.4180477623687483.6674820550281840.47445812214991748.7459163532728]