OpenML
283904

Run 283904

Task 278 (Supervised Classification) heart-c Uploaded 10-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.RandomSubSpace_REPTree(4)Tin Kam Ho (1998). The Random Subspace Method for Constructing Decision Forests. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(8):832-844. URL http://citeseer.ist.psu.edu/ho98random.html.
weka.REPTree(9)_M2
weka.REPTree(9)_V0.001
weka.REPTree(9)_N3
weka.REPTree(9)_S1
weka.REPTree(9)_L-1
weka.REPTree(9)_I0.0
weka.RandomSubSpace_REPTree(4)_P0.5
weka.RandomSubSpace_REPTree(4)_S1
weka.RandomSubSpace_REPTree(4)_num-slots1
weka.RandomSubSpace_REPTree(4)_I160
weka.RandomSubSpace_REPTree(4)_Wweka.classifiers.trees.REPTree

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
0.9086
Per class
Cross-validation details (33% Holdout set)
F measure
0.8584
Per class
Cross-validation details (33% Holdout set)
Kappa
0.7174
Cross-validation details (33% Holdout set)
KB relative information score
38.4471
Cross-validation details (33% Holdout set)
Mean absolute error
0.1301
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2021
Cross-validation details (33% Holdout set)
Number of instances
99
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8611
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8586
Cross-validation details (33% Holdout set)
Prior entropy
1.0792
Cross-validation details (33% Holdout set)
Recall
0.8586
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6438
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3177
Cross-validation details (33% Holdout set)
Root mean squared error
0.2333
Cross-validation details (33% Holdout set)
Root relative squared error
0.7343
Cross-validation details (33% Holdout set)
SciMark benchmark
1342.2985
UserCPU time millis
170
Cross-validation details (33% Holdout set)
UserCPU time millis testing
20
UserCPU time millis training
150
Cross-validation details (33% Holdout set)