```r
┌───────────────────────────┬──────────────────────┬──────────────┐
│ modal_fact_checker_rating ┆ llm_opinion_vs_claim ┆ llm_accuracy │
│ --- ┆ --- ┆ --- │
│ str ┆ f64 ┆ f64 │
╞═══════════════════════════╪══════════════════════╪══════════════╡
│ False/Misleading ┆ 28.793103 ┆ 23.103448 │
│ No Mode ┆ 31.818182 ┆ 25.454545 │
│ Could Not Determine ┆ 50.0 ┆ 47.5 │
│ True ┆ 68.136646 ┆ 65.807453 │
└───────────────────────────┴──────────────────────┴──────────────┘
```
```python
term result
<char> <char>
1: (Intercept) b = 37.88 [33.65, 42.12], p < .001
2: cyl b = -2.88 [-3.53, -2.22], p < .001
```
```r
term result
<char> <char>
1: (Intercept) b = 37.88 [33.65, 42.12], p < .001
2: cyl b = -2.88 [-3.53, -2.22], p < .001
```
```r
# A tibble: 53,940 × 10
carat cut color clarity depth table price x y z
<dbl> <ord> <ord> <ord> <dbl> <dbl> <int> <dbl> <dbl> <dbl>
1 0.23 Ideal E SI2 61.5 55 326 3.95 3.98 2.43
2 0.21 Premium E SI1 59.8 61 326 3.89 3.84 2.31
3 0.23 Good E VS1 56.9 65 327 4.05 4.07 2.31
4 0.29 Premium I VS2 62.4 58 334 4.2 4.23 2.63
5 0.31 Good J SI2 63.3 58 335 4.34 4.35 2.75
6 0.24 Very Good J VVS2 62.8 57 336 3.94 3.96 2.48
7 0.24 Very Good I VVS1 62.3 57 336 3.95 3.98 2.47
8 0.26 Very Good H SI1 61.9 55 337 4.07 4.11 2.53
9 0.22 Fair E VS2 65.1 61 337 3.87 3.78 2.49
10 0.23 Very Good H VS1 59.4 61 338 4 4.05 2.39
```
```python
# A tibble: 53,940 × 10
carat cut color clarity depth table price x y z
<dbl> <ord> <ord> <ord> <dbl> <dbl> <int> <dbl> <dbl> <dbl>
1 0.23 Ideal E SI2 61.5 55 326 3.95 3.98 2.43
2 0.21 Premium E SI1 59.8 61 326 3.89 3.84 2.31
3 0.23 Good E VS1 56.9 65 327 4.05 4.07 2.31
4 0.29 Premium I VS2 62.4 58 334 4.2 4.23 2.63
5 0.31 Good J SI2 63.3 58 335 4.34 4.35 2.75
6 0.24 Very Good J VVS2 62.8 57 336 3.94 3.96 2.48
7 0.24 Very Good I VVS1 62.3 57 336 3.95 3.98 2.47
8 0.26 Very Good H SI1 61.9 55 337 4.07 4.11 2.53
9 0.22 Fair E VS2 65.1 61 337 3.87 3.78 2.49
10 0.23 Very Good H VS1 59.4 61 338 4 4.05 2.39
```