OpenML
420758

Run 420758

Task 4644 (Supervised Classification) lymphoma_9classes Uploaded 08-05-2015 by Joaquin Vanschoren
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Flow

weka.MultiBoostAB_DecisionStump(3)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_DecisionStump(3)_C3
weka.MultiBoostAB_DecisionStump(3)_P100
weka.MultiBoostAB_DecisionStump(3)_S1
weka.MultiBoostAB_DecisionStump(3)_I80
weka.MultiBoostAB_DecisionStump(3)_Wweka.classifiers.trees.DecisionStump

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
0.717
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.4629
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.3164
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
-4.5793
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1902
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.1647
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
960
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4235
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.5365
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.564
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.5365
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
1.1548
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.2845
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3032
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.0657
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
941.9549
UserCPU time millis
580
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
580
Cross-validation details (10 times 10-fold Crossvalidation)