Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.1922  0.0027  0.0827  0.2246  0.0634  0.11
Ax 1995   57  0.3356  0.0047  0.0558  0.0559  0.0457  0.04
Bacha 1998   39  0.4723  0.0043  0.0645  0.0633  0.1236  0.08
Barbosa 1983   61  0.2750  0.0048  0.0554  0.0557  0.0552  0.05
BenOr 1989   50  0.4452  0.0039  0.0644  0.0659  0.0358  0.04
Biret 1990   34  0.4920  0.0037  0.0934  0.0953  0.0447  0.06
Brailowsky 1960   40  0.4731  0.0035  0.0741  0.0726  0.2928  0.14
Chiu 1999   21  0.5510  0.0117  0.1320  0.4232  0.2116  0.30
Clidat 1994   33  0.5016  0.0114  0.1317  0.4318  0.3810  0.40
Cohen 1997   62  0.2548  0.0061  0.0361  0.0345  0.0461  0.03
Cortot 1951   38  0.4847  0.0054  0.0642  0.0656  0.0455  0.05
Csalog 1996   2  0.661  0.321  0.313  0.724  0.583  0.65
Czerny 1989   53  0.4254  0.0049  0.0647  0.0657  0.0450  0.05
Ezaki 2006   43  0.4662  0.0042  0.0836  0.0860  0.0442  0.06
Falvay 1989   11  0.5940  0.0010  0.1311  0.5339  0.0622  0.18
Fiorentino 1962   52  0.4449  0.0055  0.0651  0.0662  0.0356  0.04
Fliere 1977   44  0.4657  0.0052  0.0652  0.0653  0.0548  0.05
Fou 1978   51  0.4453  0.0056  0.0459  0.0462  0.0360  0.03
Francois 1956   27  0.5315  0.0130  0.0629  0.1911  0.5915  0.33
Goldenweiser 1946   6  0.639  0.015  0.304  0.707  0.602  0.65
Gornostaeva 1994   63  0.2365  0.0066  0.0266  0.0264  0.0266  0.02
Groot 1988   17  0.5613  0.019  0.1810  0.5327  0.2812  0.39
Hatto 1993   24  0.5435  0.0033  0.0732  0.1452  0.0538  0.08
Hatto 1997   13  0.5628  0.0024  0.1123  0.3250  0.0529  0.13
Horszowski 1983   54  0.4114  0.0134  0.0739  0.0752  0.0543  0.06
Indjic 2001   18  0.5626  0.0032  0.0730  0.1634  0.0733  0.11
Katin 1996   9  0.6134  0.0016  0.1414  0.4835  0.0918  0.21
Kiepura 1999   59  0.3266  0.0063  0.0265  0.0262  0.0362  0.02
Korecka 1992   55  0.3767  0.0067  0.0167  0.0166  0.0267  0.01
Kushner 1990   47  0.4625  0.0036  0.0838  0.0836  0.0740  0.07
Lilamand 2001   42  0.4717  0.0138  0.0835  0.0834  0.0937  0.08
Luisada 1990   30  0.5143  0.0029  0.0728  0.1940  0.0732  0.12
Luisada 2008   46  0.4655  0.0031  0.0633  0.1232  0.1231  0.12
Lushtak 2004   48  0.4561  0.0045  0.0649  0.0657  0.0453  0.05
Malcuzynski 1951   12  0.574  0.047  0.197  0.585  0.625  0.60
Malcuzynski 1961   22  0.5558  0.0020  0.1518  0.4234  0.0921  0.19
Magaloff 1977   19  0.5533  0.0018  0.1316  0.4416  0.3511  0.39
Magin 1975   37  0.4839  0.0041  0.0646  0.0651  0.0549  0.05
Meguri 1997   31  0.5118  0.0153  0.0648  0.0649  0.0551  0.05
Milkina 1970   23  0.5459  0.0025  0.0731  0.1648  0.0635  0.10
Mohovich 1999   45  0.4663  0.0051  0.0740  0.0755  0.0454  0.05
Nezu 2005   5  0.637  0.0213  0.168  0.5614  0.487  0.52
Ohlsson 1999   4  0.643  0.143  0.361  0.762  0.711  0.73
Olejniczak 1990   49  0.4532  0.0057  0.0555  0.0558  0.0459  0.04
Osinska 1989   15  0.5642  0.0021  0.1121  0.3438  0.0726  0.15
Perlemuter 1992   35  0.4911  0.0146  0.0556  0.0514  0.4725  0.15
Poblocka 1999   7  0.626  0.036  0.216  0.6112  0.546  0.57
Rangell 2001   32  0.5024  0.0040  0.0643  0.0638  0.0646  0.06
Richter 1960   14  0.5621  0.0019  0.1313  0.5030  0.2314  0.34
Richter 1961   58  0.3246  0.0065  0.0263  0.0266  0.0263  0.02
Rosen 1989   29  0.5238  0.0044  0.0650  0.0637  0.0841  0.07
Rubinstein 1939   28  0.5227  0.0026  0.0725  0.2731  0.1520  0.20
Rubinstein 1952   20  0.5537  0.008  0.169  0.5412  0.478  0.50
Rubinstein 1966   25  0.5364  0.0015  0.1615  0.4540  0.0723  0.18
Rudanovskaya 2007   8  0.6130  0.0022  0.1024  0.2833  0.1224  0.18
Shebanova 2002   16  0.5641  0.0011  0.1512  0.5125  0.2713  0.37
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   36  0.4851  0.0050  0.0837  0.0846  0.0639  0.07
Tanyel 1992   56  0.3460  0.0059  0.0653  0.0648  0.0644  0.06
Tsujii 2005   10  0.608  0.0212  0.1319  0.4227  0.2017  0.29
Uninsky 1959   3  0.655  0.044  0.235  0.695  0.604  0.64
Vardi 1988   41  0.4719  0.0028  0.0926  0.2346  0.0630  0.12
Wasowski 1980   26  0.5312  0.0123  0.0922  0.329  0.599  0.43
Zimerman 1975   60  0.2944  0.0062  0.0264  0.0265  0.0265  0.02
Average   1  0.702  0.252  0.382  0.7546  0.0619  0.21
Random 1   67  0.0236  0.0060  0.0360  0.0328  0.1145  0.06
Random 2   65  0.0445  0.0064  0.0262  0.0253  0.0364  0.02
Random 3   66  0.0329  0.0058  0.0557  0.0512  0.4327  0.15

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).