Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.3440  0.0019  0.1117  0.7039  0.2625  0.43
Anderszewski 2003   44  0.1870  0.0037  0.1140  0.4148  0.0734  0.17
Ashkenazy 1981   72  0.0447  0.0076  0.0476  0.0488  0.0275  0.03
Bacha 2000   34  0.2227  0.0040  0.1839  0.4157  0.0538  0.14
Badura 1965   58  0.1071  0.0052  0.0846  0.0876  0.0354  0.05
Barbosa 1983   73  0.0456  0.0070  0.0474  0.0489  0.0271  0.03
Biret 1990   6  0.4713  0.0110  0.2513  0.745  0.7310  0.73
Blet 2003   67  0.0681  0.0066  0.0467  0.0487  0.0181  0.02
Block 1995   66  0.0782  0.0058  0.0558  0.0587  0.0274  0.03
Blumental 1952   61  0.0964  0.0045  0.0645  0.1184  0.0347  0.06
Boshniakovich 1969   86  -0.0572  0.0080  0.0379  0.0388  0.0283  0.02
Brailowsky 1960   25  0.2657  0.0034  0.2328  0.6137  0.3324  0.45
Bunin 1987   53  0.1165  0.0068  0.0468  0.0485  0.0376  0.03
Bunin 1987b   52  0.1150  0.0069  0.0747  0.0783  0.0349  0.05
Chiu 1999   40  0.1967  0.0062  0.0473  0.0484  0.0362  0.03
Cohen 1997   9  0.4311  0.019  0.217  0.847  0.679  0.75
Cortot 1951   16  0.3533  0.0017  0.1312  0.7516  0.5712  0.65
Csalog 1996   48  0.1473  0.0054  0.0750  0.0772  0.0451  0.05
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   45  0.1758  0.0053  0.0751  0.0779  0.0355  0.05
Duchoud 2007   39  0.2036  0.0047  0.0752  0.0780  0.0353  0.05
Ezaki 2006   5  0.4812  0.016  0.243  0.865  0.745  0.80
Falvay 1989   11  0.4121  0.0014  0.1519  0.6913  0.4518  0.56
Farrell 1958   14  0.3815  0.0118  0.1014  0.7317  0.5014  0.60
Ferenczy 1958   8  0.466  0.037  0.324  0.861  0.911  0.88
Fliere 1977   80  -0.0174  0.0086  0.0288  0.0288  0.0185  0.01
Fou 1978   26  0.267  0.0239  0.1638  0.4271  0.0341  0.11
Francois 1956   4  0.492  0.222  0.362  0.873  0.813  0.84
Friedman 1923   88  -0.0583  0.0088  0.0287  0.0289  0.0284  0.02
Friedman 1923b   89  -0.0784  0.0089  0.0189  0.0188  0.0290  0.01
Friedman 1930   71  0.0551  0.0059  0.0561  0.0589  0.0272  0.03
Garcia 2007   87  -0.0585  0.0078  0.0378  0.0389  0.0282  0.02
Garcia 2007b   84  -0.0386  0.0082  0.0283  0.0290  0.0191  0.01
Gierzod 1998   65  0.0760  0.0048  0.0653  0.0667  0.0452  0.05
Gornostaeva 1994   3  0.4910  0.018  0.275  0.869  0.736  0.79
Groot 1988   47  0.1731  0.0046  0.0749  0.0784  0.0356  0.05
Harasiewicz 1955   23  0.3032  0.0015  0.1518  0.6936  0.2126  0.38
Hatto 1993   56  0.1175  0.0056  0.0654  0.0685  0.0359  0.04
Hatto 1997   18  0.3414  0.0121  0.1234  0.5158  0.0537  0.16
Horowitz 1949   78  0.0061  0.0081  0.0380  0.0388  0.0278  0.02
Indjic 1988   64  0.0787  0.0061  0.0470  0.0483  0.0370  0.03
Kapell 1951   55  0.1148  0.0057  0.0557  0.0580  0.0358  0.04
Kissin 1993   91  -0.1088  0.0087  0.0286  0.0289  0.0187  0.01
Kushner 1989   51  0.1152  0.0065  0.0560  0.0588  0.0265  0.03
Luisada 1991   59  0.1034  0.0067  0.0472  0.0486  0.0260  0.03
Lushtak 2004   54  0.1189  0.0064  0.0559  0.0582  0.0273  0.03
Malcuzynski 1961   60  0.0953  0.0051  0.0748  0.0783  0.0350  0.05
Magaloff 1978   63  0.0876  0.0050  0.0555  0.0581  0.0357  0.04
Magin 1975   70  0.0562  0.0055  0.0556  0.0567  0.0548  0.05
Michalowski 1933   77  0.0077  0.0075  0.0475  0.0488  0.0269  0.03
Milkina 1970   7  0.473  0.163  0.309  0.813  0.767  0.78
Mohovich 1999   37  0.2126  0.0027  0.1130  0.5358  0.0632  0.18
Moravec 1969   12  0.404  0.105  0.208  0.836  0.698  0.76
Morozova 2008   43  0.1842  0.0044  0.0743  0.1782  0.0345  0.07
Neighaus 1950   21  0.3219  0.0020  0.1525  0.6452  0.0829  0.23
Niedzielski 1931   81  -0.0143  0.0074  0.0562  0.0587  0.0264  0.03
Ohlsson 1999   28  0.2518  0.0035  0.1433  0.5167  0.0440  0.14
Osinska 1989   17  0.3530  0.0016  0.1415  0.7225  0.5013  0.60
Pachmann 1927   82  -0.0259  0.0085  0.0284  0.0287  0.0280  0.02
Paderewski 1930   90  -0.0978  0.0083  0.0282  0.0291  0.0186  0.01
Perlemuter 1992   79  -0.0179  0.0079  0.0381  0.0389  0.0277  0.02
Pierdomenico 2008   57  0.1038  0.0060  0.0471  0.0488  0.0263  0.03
Poblocka 1999   68  0.0641  0.0073  0.0477  0.0483  0.0361  0.03
Rabcewiczowa 1932   2  0.525  0.034  0.316  0.842  0.814  0.82
Rachmaninoff 1923   29  0.2517  0.0036  0.1237  0.4765  0.0439  0.14
Rangell 2001   46  0.178  0.0126  0.1029  0.5648  0.0633  0.18
Richter 1976   75  0.0168  0.0084  0.0285  0.0290  0.0279  0.02
Rosen 1989   36  0.2154  0.0041  0.0841  0.2755  0.0442  0.10
Rosenthal 1930   22  0.3135  0.0022  0.1620  0.6920  0.4519  0.56
Rosenthal 1931   32  0.2323  0.0033  0.1923  0.6528  0.5116  0.58
Rosenthal 1931b   35  0.2255  0.0032  0.1326  0.6227  0.5020  0.56
Rosenthal 1931c   24  0.2945  0.0023  0.1416  0.7125  0.4717  0.58
Rosenthal 1931d   38  0.2120  0.0031  0.1524  0.6521  0.4621  0.55
Rossi 2007   42  0.1844  0.0049  0.0563  0.0542  0.1144  0.07
Rubinstein 1939   10  0.4222  0.0011  0.2710  0.807  0.5511  0.66
Rubinstein 1952   33  0.2237  0.0025  0.0927  0.6142  0.1228  0.27
Rubinstein 1966   27  0.2639  0.0030  0.1232  0.5353  0.0536  0.16
Schilhawsky 1960   83  -0.0290  0.0091  0.0191  0.0191  0.0188  0.01
Shebanova 2002   85  -0.0346  0.0090  0.0190  0.0190  0.0189  0.01
Smith 1975   1  0.561  0.311  0.301  0.874  0.812  0.84
Sokolov 2002   15  0.3816  0.0012  0.1722  0.6713  0.5215  0.59
Sztompka 1959   62  0.0866  0.0063  0.0564  0.0587  0.0268  0.03
Tomsic 1995   30  0.2463  0.0029  0.1331  0.5350  0.0535  0.16
Uninsky 1932   41  0.1928  0.0042  0.0842  0.1879  0.0443  0.08
Uninsky 1971   13  0.3925  0.0013  0.1611  0.7825  0.3322  0.51
Wasowski 1980   31  0.2329  0.0038  0.1236  0.4748  0.0730  0.18
Zak 1937   74  0.0491  0.0077  0.0469  0.0487  0.0266  0.03
Zak 1951   69  0.0549  0.0072  0.0466  0.0487  0.0267  0.03
Average   20  0.3469  0.0024  0.1221  0.6764  0.0531  0.18
Random 1   76  0.0180  0.0071  0.0565  0.0544  0.1146  0.07
Random 2   50  0.129  0.0128  0.1035  0.483  0.5423  0.51
Random 3   49  0.1324  0.0043  0.0644  0.171  0.7427  0.35

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).