Training History
Cross-validation metrics from every training run.
instagram
97%
Accuracy
facebook
96%
Accuracy
x
98%
Accuracy
linkedin
97%
Accuracy
github
97%
Accuracy
discord
100%
Accuracy
youtube
100%
Accuracy
tiktok
100%
Accuracy
reddit
100%
Accuracy
snapchat
100%
Accuracy
instagram 12 runs
Retrain| Trained At (UTC) | Rows | Accuracy | Precision | Recall | F1 | CV Folds |
|---|---|---|---|---|---|---|
| 2026-04-30T05:04:20Z | 3584 |
|
0.970 | 0.967 | 0.968 | 5 |
| 2026-04-30T05:02:06Z | 2560 |
|
0.973 | 0.970 | 0.971 | 5 |
| 2026-04-30T05:01:31Z | 3584 |
|
0.970 | 0.967 | 0.968 | 5 |
| 2026-04-06T19:57:01Z | 1000 |
|
0.975 | 0.987 | 0.981 | 5 |
| 2026-04-06T19:39:15Z | 2400 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-04-06T19:36:59Z | 2400 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-03-28T18:15:36Z | 500 |
|
0.000 | 0.000 | 0.000 | 5 |
| 2026-03-28T16:41:58Z | 1200 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-03-28T15:47:00Z | 5000 |
|
0.000 | 0.000 | 0.000 | 5 |
| 2026-03-28T07:46:01Z | 20 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-03-28T07:44:17Z | 30 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-03-28T07:04:44Z | 30 |
|
1.000 | 1.000 | 1.000 | 5 |
facebook 6 runs
Retrain| Trained At (UTC) | Rows | Accuracy | Precision | Recall | F1 | CV Folds |
|---|---|---|---|---|---|---|
| 2026-04-30T11:42:08Z | 5984 |
|
0.955 | 0.956 | 0.955 | 5 |
| 2026-04-30T11:09:14Z | 3616 |
|
0.943 | 0.950 | 0.947 | 5 |
| 2026-04-30T05:02:36Z | 2572 |
|
0.948 | 0.936 | 0.942 | 5 |
| 2026-04-06T19:39:20Z | 2000 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-04-06T19:37:04Z | 2000 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-03-28T16:41:59Z | 1000 |
|
1.000 | 1.000 | 1.000 | 5 |
x 5 runs
Retrain| Trained At (UTC) | Rows | Accuracy | Precision | Recall | F1 | CV Folds |
|---|---|---|---|---|---|---|
| 2026-04-30T11:43:45Z | 5944 |
|
0.984 | 0.967 | 0.976 | 5 |
| 2026-04-30T05:03:05Z | 2580 |
|
0.981 | 0.965 | 0.973 | 5 |
| 2026-04-06T19:39:26Z | 2800 |
|
0.999 | 1.000 | 1.000 | 5 |
| 2026-04-06T19:37:10Z | 2800 |
|
0.999 | 1.000 | 1.000 | 5 |
| 2026-03-28T16:42:02Z | 1400 |
|
0.999 | 1.000 | 0.999 | 5 |
linkedin 5 runs
Retrain| Trained At (UTC) | Rows | Accuracy | Precision | Recall | F1 | CV Folds |
|---|---|---|---|---|---|---|
| 2026-04-30T11:45:13Z | 5988 |
|
0.974 | 0.969 | 0.971 | 5 |
| 2026-04-30T11:11:12Z | 3556 |
|
0.972 | 0.963 | 0.968 | 5 |
| 2026-04-30T11:10:24Z | 3000 |
|
0.967 | 0.951 | 0.959 | 5 |
| 2026-04-06T19:39:31Z | 2000 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-03-28T16:42:04Z | 1000 |
|
1.000 | 1.000 | 1.000 | 5 |
github 5 runs
Retrain| Trained At (UTC) | Rows | Accuracy | Precision | Recall | F1 | CV Folds |
|---|---|---|---|---|---|---|
| 2026-04-30T11:47:58Z | 5972 |
|
0.966 | 0.964 | 0.965 | 5 |
| 2026-04-30T11:46:58Z | 5000 |
|
0.958 | 0.956 | 0.957 | 5 |
| 2026-04-15T06:33:44Z | 3000 |
|
0.983 | 0.968 | 0.975 | 5 |
| 2026-04-06T19:39:35Z | 2200 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-03-28T16:42:05Z | 1100 |
|
1.000 | 1.000 | 1.000 | 5 |
discord 3 runs
Retrain| Trained At (UTC) | Rows | Accuracy | Precision | Recall | F1 | CV Folds |
|---|---|---|---|---|---|---|
| 2026-04-06T19:39:39Z | 2000 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-03-28T16:42:07Z | 1000 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-03-28T08:29:50Z | 20 |
|
1.000 | 1.000 | 1.000 | 5 |
youtube 2 runs
Retrain| Trained At (UTC) | Rows | Accuracy | Precision | Recall | F1 | CV Folds |
|---|---|---|---|---|---|---|
| 2026-04-06T19:39:43Z | 2000 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-03-28T16:42:09Z | 1000 |
|
0.998 | 1.000 | 0.999 | 5 |
tiktok 2 runs
Retrain| Trained At (UTC) | Rows | Accuracy | Precision | Recall | F1 | CV Folds |
|---|---|---|---|---|---|---|
| 2026-04-06T19:39:49Z | 2400 |
|
0.999 | 1.000 | 1.000 | 5 |
| 2026-03-28T16:42:11Z | 1200 |
|
1.000 | 1.000 | 1.000 | 5 |
reddit 2 runs
Retrain| Trained At (UTC) | Rows | Accuracy | Precision | Recall | F1 | CV Folds |
|---|---|---|---|---|---|---|
| 2026-04-06T19:39:53Z | 2400 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-03-28T16:42:13Z | 1200 |
|
0.998 | 1.000 | 0.999 | 5 |
snapchat 2 runs
Retrain| Trained At (UTC) | Rows | Accuracy | Precision | Recall | F1 | CV Folds |
|---|---|---|---|---|---|---|
| 2026-04-06T19:39:57Z | 2000 |
|
1.000 | 1.000 | 1.000 | 5 |
| 2026-03-28T16:42:15Z | 1000 |
|
1.000 | 1.000 | 1.000 | 5 |