Malcuzynski 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   13  0.7733  0.0019  0.1119  0.409  0.5422  0.46
Ax 1995   7  0.7813  0.0011  0.219  0.658  0.659  0.65
Bacha 1998   40  0.6843  0.0035  0.0645  0.062  0.7037  0.20
Barbosa 1983   31  0.7037  0.0041  0.0935  0.0924  0.4039  0.19
BenOr 1989   33  0.708  0.0033  0.0833  0.1613  0.6032  0.31
Biret 1990   26  0.7121  0.0030  0.0731  0.2011  0.6826  0.37
Brailowsky 1960   29  0.7141  0.0025  0.0823  0.3212  0.5424  0.42
Chiu 1999   51  0.6423  0.0050  0.0464  0.0424  0.4153  0.13
Clidat 1994   24  0.7247  0.0027  0.0627  0.2418  0.4031  0.31
Cohen 1997   64  0.4759  0.0064  0.0552  0.0546  0.0564  0.05
Cortot 1951   59  0.5428  0.0061  0.0463  0.043  0.6346  0.16
Csalog 1996   45  0.6661  0.0054  0.0737  0.0721  0.3350  0.15
Czerny 1989   38  0.6842  0.0028  0.0830  0.208  0.5529  0.33
Ezaki 2006   17  0.7624  0.0012  0.1718  0.455  0.6517  0.54
Falvay 1989   18  0.7626  0.008  0.1710  0.645  0.6210  0.63
Fiorentino 1962   4  0.813  0.017  0.354  0.732  0.853  0.79
Fliere 1977   15  0.7757  0.0015  0.0915  0.514  0.6016  0.55
Fou 1978   20  0.757  0.0014  0.1014  0.523  0.7013  0.60
Francois 1956   50  0.6435  0.0048  0.0462  0.0419  0.3656  0.12
Goldenweiser 1946   62  0.4722  0.0060  0.0556  0.0511  0.4748  0.15
Gornostaeva 1994   47  0.6517  0.0051  0.0557  0.056  0.5644  0.17
Groot 1988   49  0.6432  0.0043  0.0649  0.0624  0.2555  0.12
Hatto 1993   9  0.7825  0.004  0.298  0.667  0.687  0.67
Hatto 1997   12  0.7750  0.006  0.2511  0.629  0.6411  0.63
Horszowski 1983   63  0.4762  0.0063  0.0554  0.0550  0.0562  0.05
Indjic 2001   8  0.7838  0.005  0.276  0.678  0.668  0.66
Katin 1996   37  0.6931  0.0042  0.0648  0.0630  0.1957  0.11
Kiepura 1999   44  0.6751  0.0052  0.0558  0.0513  0.4747  0.15
Korecka 1992   56  0.6040  0.0057  0.0651  0.0610  0.5141  0.17
Kushner 1990   48  0.6552  0.0055  0.0836  0.0829  0.2749  0.15
Lilamand 2001   57  0.5819  0.0058  0.0739  0.0711  0.3745  0.16
Luisada 1990   41  0.6754  0.0037  0.0647  0.069  0.6938  0.20
Luisada 2008   34  0.7055  0.0036  0.0740  0.077  0.7433  0.23
Lushtak 2004   11  0.7811  0.009  0.185  0.688  0.705  0.69
Malcuzynski 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   1  0.941  0.921  0.901  0.961  0.951  0.95
Magaloff 1977   53  0.6339  0.0047  0.0555  0.057  0.6143  0.17
Magin 1975   16  0.764  0.0122  0.1521  0.397  0.7019  0.52
Meguri 1997   58  0.5748  0.0044  0.0646  0.0628  0.1859  0.10
Milkina 1970   22  0.7216  0.0021  0.1520  0.3915  0.5920  0.48
Mohovich 1999   30  0.7118  0.0020  0.1222  0.3912  0.5421  0.46
Nezu 2005   6  0.7912  0.0013  0.2112  0.628  0.746  0.68
Ohlsson 1999   28  0.7156  0.0032  0.0829  0.2118  0.4630  0.31
Olejniczak 1990   27  0.7115  0.0029  0.0826  0.2514  0.5527  0.37
Osinska 1989   3  0.839  0.003  0.373  0.756  0.724  0.73
Perlemuter 1992   61  0.4829  0.0062  0.0461  0.0440  0.0565  0.04
Poblocka 1999   14  0.7753  0.0018  0.1016  0.497  0.7014  0.59
Rangell 2001   23  0.7249  0.0034  0.0742  0.0713  0.6435  0.21
Richter 1960   54  0.6265  0.0053  0.0553  0.0517  0.4651  0.15
Richter 1961   55  0.6163  0.0049  0.0460  0.0419  0.4352  0.13
Rosen 1989   21  0.726  0.0024  0.1024  0.315  0.6623  0.45
Rubinstein 1939   32  0.7014  0.0026  0.0825  0.2916  0.4925  0.38
Rubinstein 1952   36  0.6910  0.0040  0.0738  0.0729  0.2554  0.13
Rubinstein 1966   25  0.715  0.0031  0.0928  0.2314  0.5028  0.34
Rudanovskaya 2007   60  0.5460  0.0059  0.0559  0.0556  0.0563  0.05
Shebanova 2002   46  0.6645  0.0046  0.0743  0.0734  0.1160  0.09
Smith 1975   43  0.6730  0.0038  0.0650  0.068  0.5640  0.18
Sztompka 1959   52  0.6336  0.0056  0.1134  0.1111  0.4634  0.22
Tanyel 1992   10  0.7820  0.0017  0.0913  0.549  0.6415  0.59
Tsujii 2005   5  0.7927  0.0010  0.247  0.6713  0.5812  0.62
Uninsky 1959   35  0.7058  0.0039  0.0741  0.0731  0.1558  0.10
Vardi 1988   42  0.6744  0.0023  0.1132  0.1931  0.1642  0.17
Wasowski 1980   39  0.6834  0.0045  0.0644  0.068  0.6736  0.20
Zimerman 1975   19  0.7546  0.0016  0.1117  0.4810  0.5918  0.53
Average   2  0.882  0.032  0.812  0.917  0.772  0.84
Random 1   66  -0.0564  0.0066  0.0266  0.0224  0.1661  0.06
Random 2   65  -0.0366  0.0065  0.0265  0.0243  0.0566  0.03
Random 3   67  -0.0967  0.0067  0.0167  0.0163  0.0367  0.02
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).