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trial_id
string
site_id
string
week
int64
recruitment_rate_per_week
float64
inclusion_tightness_0_1
float64
mean_severity_score
float64
severity_sd
float64
endpoint_effect_size
float64
endpoint_variance
float64
endpoint_dilution_z
float64
primary_miss_next_60d
int64
label_primary_miss_next_60d
int64
TRIAL_RCI06
S01
4
5.2
0.82
6.1
1.2
0.42
0.9
0.3
0
0
TRIAL_RCI06
S01
6
5.8
0.78
5.9
1.4
0.39
1
0.4
0
0
TRIAL_RCI06
S02
8
6.5
0.72
5.6
1.7
0.34
1.2
0.7
0
0
TRIAL_RCI06
S02
10
7.3
0.66
5.2
2
0.28
1.5
1.1
1
1
TRIAL_RCI06
S03
12
8.1
0.6
4.9
2.3
0.22
1.9
1.4
1
1
TRIAL_RCI07
S01
5
4.9
0.85
6.3
1.1
0.44
0.8
0.2
0
0
TRIAL_RCI07
S02
7
5.6
0.8
6
1.3
0.41
0.9
0.3
0
0
TRIAL_RCI07
S03
9
6.9
0.7
5.4
1.8
0.31
1.3
0.9
1
1
TRIAL_RCI07
S03
11
7.8
0.64
5.1
2.1
0.26
1.6
1.2
1
1
TRIAL_RCI07
S04
6
5.3
0.77
5.8
1.5
0.37
1.1
0.5
0
0

Clinical Quad Recruitment Inclusion Severity Endpoint Dilution v0.1

Each row is a site week snapshot.

Core quad

Recruitment speed
Inclusion criteria tightness
Population severity
Endpoint dilution

Target

label_primary_miss_next_60d

Files

data/train.csv
data/tester.csv
scorer.py

Evaluation

Run model on data/tester.csv
Return predictions row aligned
Score with scorer.py

License

MIT

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