Run
303053

Run 303053

Task 3942 (Supervised Classification) tumors_C Uploaded 18-03-2015 by Joaquin Vanschoren
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Flow

weka.ADTree(4)Freund, Y., Mason, L.: The alternating decision tree learning algorithm. In: Proceeding of the Sixteenth International Conference on Machine Learning, Bled, Slovenia, 124-133, 1999.
weka.ADTree(4)_B10
weka.ADTree(4)_E-3
weka.ADTree(4)_S1

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
0.4695
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5235
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
-0.0714
Cross-validation details (10-fold Crossvalidation)
KB relative information score
-0.8326
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4468
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4565
Cross-validation details (10-fold Crossvalidation)
Number of instances
60
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5098
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.55
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9383
Cross-validation details (10-fold Crossvalidation)
Recall
0.55
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9788
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.477
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5756
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.2068
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1305.6106
UserCPU time millis
1050
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
1040
Cross-validation details (10-fold Crossvalidation)