Showing Predictor "Toy dataset 6"

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Notes:

Synthetic dataset from Hao, with 20 uncensored patients and 1 feature, taking values 1-3

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Options
Regularization: L2	Tuning Score: avg log-likelihood loss
Time Points: 5	Tune Parameters: true
Feature Selection: false	Include Sibling Features: false
Standardize: true	Run Cross-Validation: true
Objective Function: log-likelihood	Marginal Loss Type: weighted
Use pre-defined Fold: No

Results
Start Time: 2017-09-22 11:45:43 -0600	Used Time: less than a minute
Label Name: SURVIVAL	C Parameter: 0.001
PSSP model: mtlr_model_file2845.mtlr	Version: 0.0.3

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Cross-validation results

5-Fold Cross-Validation Statistics*
Measure	PSSP Predictor (median)	PSSP Predictor (mean)	K-M Predictor
Concordance Index	0.92 ± 0.0	0.92 ± 0.0	0.5 ± 0.0
Hinged L1 Loss	1.83 ± 0.37		6.9 ± 0.87
Uncensored L1 loss	1.83 ± 0.37	3.94 ± 1.09	6.9 ± 0.87
Marginal L1 Loss	1.83 ± 0.37	3.94 ± 1.09	6.9 ± 0.87
Marginal L2 Loss	2.19 ± 0.52		8.19 ± 0.74
Hinged L1 Log-Loss	0.15 ± 0.03	0.24 ± 0.06	0.52 ± 0.11
Uncensored L1 Log-Loss	0.15 ± 0.03	0.24 ± 0.06	0.52 ± 0.11
Marginal L1 Log-Loss	0.14 ± 0.03	0.22 ± 0.05	0.48 ± 0.1
Log-Likelihood Loss	0.81 ± 0.21
D-calibration χ² statistics	20.0 ± 4.9		16.0 ± 0.0
D-calibration χ² p-value	0.45 ± 0.26		0.66 ± 0.0

*Mean value ± standard deviation.

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