Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.3534  0.0054  0.0653  0.0640  0.2347  0.12
Anderszewski 2003   76  0.1868  0.0073  0.0474  0.0446  0.0769  0.05
Ashkenazy 1981   4  0.525  0.046  0.236  0.6622  0.639  0.64
Bacha 2000   39  0.3654  0.0019  0.1024  0.3912  0.5422  0.46
Badura 1965   38  0.3643  0.0038  0.0539  0.1911  0.5628  0.33
Barbosa 1983   40  0.3517  0.0157  0.0556  0.0538  0.1950  0.10
Biret 1990   89  0.0287  0.0089  0.0290  0.0286  0.0291  0.02
Blet 2003   58  0.3050  0.0067  0.0750  0.0760  0.0662  0.06
Block 1995   13  0.4715  0.0110  0.2112  0.5915  0.5812  0.58
Blumental 1952   19  0.4219  0.0112  0.1618  0.539  0.6413  0.58
Boshniakovich 1969   12  0.4738  0.0015  0.1213  0.5922  0.5116  0.55
Brailowsky 1960   74  0.1969  0.0079  0.0468  0.0463  0.0573  0.04
Bunin 1987   24  0.4075  0.0034  0.0629  0.2827  0.4327  0.35
Bunin 1987b   27  0.4039  0.0035  0.0630  0.2629  0.4030  0.32
Chiu 1999   32  0.3827  0.0049  0.0467  0.0452  0.0765  0.05
Cohen 1997   56  0.3024  0.0061  0.0558  0.0536  0.3443  0.13
Cortot 1951   71  0.2259  0.0051  0.0559  0.0532  0.3545  0.13
Csalog 1996   69  0.2253  0.0068  0.0557  0.0567  0.0568  0.05
Czerny 1949   86  0.0988  0.0082  0.0383  0.0348  0.0770  0.05
Czerny 1990   59  0.3089  0.0062  0.0655  0.0655  0.0764  0.06
Duchoud 2007   79  0.1736  0.0076  0.0376  0.0367  0.0485  0.03
Ezaki 2006   42  0.3526  0.0033  0.0638  0.1926  0.5031  0.31
Falvay 1989   73  0.2070  0.0071  0.0471  0.0464  0.0475  0.04
Farrell 1958   82  0.1252  0.0086  0.0284  0.0275  0.0389  0.02
Ferenczy 1958   84  0.1146  0.0083  0.0286  0.0243  0.2559  0.07
Fliere 1977   6  0.5112  0.0114  0.139  0.6233  0.4815  0.55
Fou 1978   33  0.3825  0.0040  0.0535  0.2037  0.2336  0.21
Francois 1956   81  0.1690  0.0081  0.0382  0.0369  0.0388  0.03
Friedman 1923   25  0.4020  0.0139  0.0536  0.2045  0.1839  0.19
Friedman 1923b   29  0.3977  0.0043  0.0642  0.1354  0.0851  0.10
Friedman 1930   17  0.4518  0.0123  0.1117  0.5528  0.5418  0.54
Garcia 2007   62  0.2866  0.0030  0.0640  0.1737  0.2538  0.21
Garcia 2007b   36  0.3722  0.0125  0.1128  0.2821  0.5424  0.39
Gierzod 1998   16  0.463  0.103  0.1410  0.605  0.774  0.68
Gornostaeva 1994   72  0.2184  0.0075  0.0472  0.0461  0.0479  0.04
Groot 1988   23  0.4121  0.0136  0.0632  0.2248  0.0844  0.13
Harasiewicz 1955   28  0.4085  0.0041  0.0637  0.1967  0.0453  0.09
Hatto 1993   31  0.3980  0.0026  0.0825  0.3843  0.1734  0.25
Hatto 1997   64  0.2729  0.0053  0.0846  0.0846  0.0758  0.07
Horowitz 1949   46  0.3371  0.0060  0.0748  0.0750  0.0756  0.07
Indjic 1988   26  0.4023  0.0121  0.1022  0.4726  0.4123  0.44
Kapell 1951   67  0.2435  0.0072  0.0475  0.0461  0.0666  0.05
Kissin 1993   5  0.5116  0.019  0.147  0.6613  0.743  0.70
Kushner 1989   2  0.542  0.162  0.272  0.765  0.781  0.77
Luisada 1991   37  0.3667  0.0058  0.0751  0.0759  0.0661  0.06
Lushtak 2004   11  0.4810  0.0111  0.158  0.642  0.735  0.68
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   9  0.494  0.044  0.223  0.718  0.722  0.71
Magin 1975   8  0.4913  0.018  0.1711  0.5915  0.707  0.64
Michalowski 1933   50  0.3281  0.0059  0.0749  0.0757  0.0757  0.07
Milkina 1970   85  0.1061  0.0087  0.0381  0.0372  0.0383  0.03
Mohovich 1999   51  0.3255  0.0052  0.0752  0.0747  0.0860  0.07
Moravec 1969   47  0.3333  0.0045  0.0545  0.1045  0.1048  0.10
Morozova 2008   22  0.427  0.0216  0.1323  0.4326  0.3425  0.38
Neighaus 1950   61  0.2962  0.0065  0.0561  0.0576  0.0480  0.04
Niedzielski 1931   20  0.4214  0.0120  0.0819  0.5019  0.4821  0.49
Ohlsson 1999   30  0.3937  0.0027  0.0726  0.3432  0.2832  0.31
Osinska 1989   75  0.1878  0.0074  0.0378  0.0373  0.0381  0.03
Pachmann 1927   21  0.4247  0.0024  0.1521  0.4819  0.6117  0.54
Paderewski 1930   18  0.4463  0.0022  0.1020  0.4914  0.6414  0.56
Perlemuter 1992   7  0.496  0.0313  0.1014  0.5815  0.6410  0.61
Pierdomenico 2008   35  0.3745  0.0046  0.0563  0.0530  0.3046  0.12
Poblocka 1999   60  0.3028  0.0029  0.0644  0.1355  0.0554  0.08
Rabcewiczowa 1932   83  0.1272  0.0085  0.0285  0.0264  0.0582  0.03
Rachmaninoff 1923   63  0.2731  0.0066  0.0562  0.0578  0.0374  0.04
Rangell 2001   70  0.2273  0.0078  0.0379  0.0372  0.0487  0.03
Richter 1976   15  0.4665  0.0018  0.1515  0.5831  0.6111  0.59
Rosen 1989   43  0.3544  0.0048  0.0565  0.0553  0.0571  0.05
Rosenthal 1930   77  0.1864  0.0084  0.0287  0.0275  0.0390  0.02
Rosenthal 1931   65  0.2660  0.0050  0.0566  0.0521  0.5841  0.17
Rosenthal 1931b   66  0.2556  0.0063  0.0747  0.0729  0.4840  0.18
Rosenthal 1931c   53  0.3158  0.0031  0.0733  0.2118  0.5229  0.33
Rosenthal 1931d   80  0.1779  0.0069  0.0473  0.0441  0.2152  0.09
Rossi 2007   87  0.0891  0.0080  0.0380  0.0333  0.2255  0.08
Rubinstein 1939   78  0.1886  0.0077  0.0377  0.0359  0.0577  0.04
Rubinstein 1952   49  0.3232  0.0037  0.0531  0.2230  0.3833  0.29
Rubinstein 1966   54  0.3151  0.0047  0.0564  0.0547  0.0763  0.06
Schilhawsky 1960   55  0.3049  0.0056  0.0654  0.0621  0.4442  0.16
Shebanova 2002   3  0.5311  0.017  0.195  0.6926  0.608  0.64
Smith 1975   68  0.2242  0.0070  0.0469  0.0467  0.0476  0.04
Sokolov 2002   48  0.3330  0.0028  0.0734  0.2037  0.2335  0.21
Sztompka 1959   14  0.468  0.0217  0.1216  0.5722  0.5019  0.53
Tomsic 1995   34  0.3848  0.0032  0.0627  0.3116  0.4026  0.35
Uninsky 1932   10  0.489  0.015  0.204  0.7113  0.606  0.65
Uninsky 1971   45  0.3341  0.0042  0.0641  0.1550  0.0749  0.10
Wasowski 1980   57  0.3040  0.0064  0.0470  0.0462  0.0572  0.04
Zak 1937   52  0.3176  0.0055  0.0560  0.0553  0.0667  0.05
Zak 1951   44  0.3482  0.0044  0.0743  0.1331  0.3337  0.21
Average   1  0.611  0.421  0.411  0.8229  0.3220  0.51
Random 1   90  0.0074  0.0090  0.0289  0.0260  0.0486  0.03
Random 2   88  0.0457  0.0088  0.0288  0.0247  0.0684  0.03
Random 3   91  -0.0383  0.0091  0.0191  0.0133  0.1678  0.04

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).