Showing Predictor "Toy dataset 5"

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Notes:

Synthetic dataset from Hao, with 28 patients (8 censored), and a single feature taking values 1-4

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Options
Regularization: L2	Tuning Score: avg log-likelihood loss
Time Points: 6	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 11:44:10 -0600	Used Time: less than a minute
Label Name: SURVIVAL	C Parameter: 0.001
PSSP model: mtlr_model_file2844.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	0.96 ± 0.04	0.96 ± 0.04	0.5 ± 0.0
Hinged L1 Loss	1.99 ± 0.89		4.14 ± 0.22
Uncensored L1 loss	2.24 ± 1.34	2.14 ± 1.73	5.4 ± 0.34
Marginal L1 Loss	2.66 ± 1.0	2.15 ± 1.51	4.95 ± 0.25
Marginal L2 Loss	3.32 ± 1.04		6.2 ± 0.35
Hinged L1 Log-Loss	0.2 ± 0.08	0.16 ± 0.13	0.39 ± 0.04
Uncensored L1 Log-Loss	0.24 ± 0.13	0.23 ± 0.19	0.52 ± 0.08
Marginal L1 Log-Loss	0.24 ± 0.09	0.2 ± 0.15	0.42 ± 0.06
Log-Likelihood Loss	1.52 ± 0.95
D-calibration χ² statistics	16.14 ± 3.48		11.81 ± 1.21
D-calibration χ² p-value	0.63 ± 0.2		0.89 ± 0.05

*Mean value ± standard deviation.

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