# Conversational Derailment Forecasting on CGA-CMV Large (randomly selected sample)

Source: [Conversational Derailment Forecasting on CGA-CMV Large (randomly selected sample)](<https://www.sota2.com/research/sota/conversational-derailment-forecasting-on-cga-cmv-large-randomly-selected-sample>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-05-29T08:23:00.411Z

Evaluation of model performance on forecasting conversational derailment using the CGA-CMV Large dataset sample, assessed via Accuracy, F1, Precision, Recall, FPR, and H metrics.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Conversational Derailment Forecasting |
| Dataset (including any stated split) | CGA-CMV Large (randomly selected sample) |
| Metric | Accuracy (Acc) |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Accuracy (Acc)](<https://www.sota2.com/research/sota/conversational-derailment-forecasting-on-cga-cmv-large-randomly-selected-sample.md?metric=Accuracy%20(Acc)>): Higher is better; unit: PERCENT.

- [False Positive Rate (FPR)](<https://www.sota2.com/research/sota/conversational-derailment-forecasting-on-cga-cmv-large-randomly-selected-sample.md?metric=False%20Positive%20Rate%20(FPR)>): Lower is better; unit: PERCENT.

- [Precision (P)](<https://www.sota2.com/research/sota/conversational-derailment-forecasting-on-cga-cmv-large-randomly-selected-sample.md?metric=Precision%20(P)>): Higher is better; unit: PERCENT.

- [Recall (R)](<https://www.sota2.com/research/sota/conversational-derailment-forecasting-on-cga-cmv-large-randomly-selected-sample.md?metric=Recall%20(R)>): Higher is better; unit: PERCENT.

- [F1 Score (F1)](<https://www.sota2.com/research/sota/conversational-derailment-forecasting-on-cga-cmv-large-randomly-selected-sample.md?metric=F1%20Score%20(F1)>): Higher is better; unit: PERCENT.

- [H Metric (H)](<https://www.sota2.com/research/sota/conversational-derailment-forecasting-on-cga-cmv-large-randomly-selected-sample.md?metric=H%20Metric%20(H)>): Higher is better; unit: SCALAR.

## Recorded results

| Method | Accuracy (Acc) | Result date | Report paper |
| --- | --- | --- | --- |
| Human | 70 | Not recorded | 6a191dabdbd7150506f828f2 |
| SOTA | 70 | Not recorded | 6a191dabdbd7150506f828f2 |
| Human | 62.2 | Not recorded | 6a191dabdbd7150506f828f2 |

### Human

Accuracy (Acc): 70. Result ID: 6a194b6bfbc373592c1391b7.

[Reporting paper](<https://www.sota2.com/research/paper/6a191dabdbd7150506f828f2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a191dabdbd7150506f828f2.md>)

Recorded evaluation configuration: {"Round":"2"}. This record does not assert independent reproduction.

### SOTA

Accuracy (Acc): 70. Result ID: 6a194b6bfbc373592c1391b8.

[Reporting paper](<https://www.sota2.com/research/paper/6a191dabdbd7150506f828f2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75001e209131cea6527c.md>)

Recorded evaluation configuration: {"aggregation":"averaged across 5 random seeds"}. This record does not assert independent reproduction.

### Human

Accuracy (Acc): 62.2. Result ID: 6a194b6bfbc373592c1391b6.

[Reporting paper](<https://www.sota2.com/research/paper/6a191dabdbd7150506f828f2.md>)

[Method origin paper](<https://www.sota2.com/research/paper/6a191dabdbd7150506f828f2.md>)

Recorded evaluation configuration: {"Round":"1"}. This record does not assert independent reproduction.

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