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  0.0020  0.1417  0.7038  0.2625  0.43
Anderszewski 2003   43  0.1869  0.0036  0.1239  0.4147  0.0734  0.17
Ashkenazy 1981   71  0.0447  0.0075  0.0475  0.0487  0.0275  0.03
Bacha 2000   33  0.2227  0.0039  0.1838  0.4156  0.0537  0.14
Badura 1965   57  0.1070  0.0051  0.0845  0.0875  0.0353  0.05
Barbosa 1983   72  0.0456  0.0069  0.0473  0.0488  0.0270  0.03
Biret 1990   6  0.4713  0.0110  0.2513  0.745  0.7310  0.73
Blet 2003   66  0.0680  0.0065  0.0466  0.0486  0.0271  0.03
Block 1995   65  0.0781  0.0057  0.0557  0.0586  0.0274  0.03
Blumental 1952   60  0.0964  0.0044  0.0644  0.1183  0.0346  0.06
Boshniakovich 1969   85  -0.0571  0.0079  0.0378  0.0387  0.0282  0.02
Brailowsky 1960   24  0.2657  0.0033  0.2427  0.6136  0.3324  0.45
Bunin 1987   52  0.1165  0.0067  0.0467  0.0484  0.0376  0.03
Bunin 1987b   51  0.1151  0.0068  0.0746  0.0782  0.0348  0.05
Chiu 1999   39  0.1967  0.0061  0.0472  0.0483  0.0361  0.03
Cohen 1997   9  0.4311  0.019  0.217  0.846  0.679  0.75
Cortot 1951   16  0.3533  0.0017  0.1312  0.7515  0.5712  0.65
Csalog 1996   47  0.1472  0.0053  0.0749  0.0771  0.0450  0.05
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   44  0.1758  0.0052  0.0750  0.0778  0.0354  0.05
Duchoud 2007   38  0.2036  0.0046  0.0751  0.0779  0.0352  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  0.6912  0.4518  0.56
Farrell 1958   14  0.3815  0.0118  0.1114  0.7316  0.5014  0.60
Ferenczy 1958   8  0.466  0.037  0.324  0.861  0.911  0.88
Fliere 1977   79  -0.0173  0.0085  0.0287  0.0287  0.0184  0.01
Fou 1978   25  0.267  0.0238  0.1637  0.4270  0.0340  0.11
Francois 1956   4  0.492  0.222  0.362  0.873  0.813  0.84
Friedman 1923   87  -0.0582  0.0087  0.0286  0.0288  0.0283  0.02
Friedman 1923b   88  -0.0783  0.0088  0.0188  0.0187  0.0289  0.01
Friedman 1930   70  0.0552  0.0058  0.0560  0.0588  0.0272  0.03
Garcia 2007   86  -0.0584  0.0077  0.0377  0.0388  0.0281  0.02
Garcia 2007b   83  -0.0385  0.0081  0.0282  0.0289  0.0190  0.01
Gierzod 1998   64  0.0760  0.0047  0.0652  0.0666  0.0451  0.05
Gornostaeva 1994   3  0.4910  0.018  0.275  0.868  0.736  0.79
Groot 1988   46  0.1731  0.0045  0.0748  0.0783  0.0355  0.05
Harasiewicz 1955   22  0.3032  0.0015  0.1518  0.6935  0.2126  0.38
Hatto 1993   55  0.1174  0.0055  0.0653  0.0684  0.0358  0.04
Hatto 1997   18  0.3414  0.0121  0.1233  0.5157  0.0536  0.16
Horowitz 1949   77  0.0061  0.0080  0.0379  0.0387  0.0278  0.02
Indjic 1988   63  0.0786  0.0060  0.0469  0.0482  0.0369  0.03
Kapell 1951   54  0.1148  0.0056  0.0556  0.0579  0.0357  0.04
Kissin 1993   90  -0.1087  0.0086  0.0285  0.0288  0.0186  0.01
Kushner 1989   50  0.1149  0.0064  0.0559  0.0587  0.0264  0.03
Luisada 1991   58  0.1034  0.0066  0.0471  0.0485  0.0259  0.03
Lushtak 2004   53  0.1188  0.0063  0.0558  0.0581  0.0273  0.03
Malcuzynski 1961   59  0.0953  0.0050  0.0747  0.0782  0.0349  0.05
Magaloff 1978   62  0.0875  0.0049  0.0654  0.0680  0.0356  0.04
Magin 1975   69  0.0562  0.0054  0.0555  0.0566  0.0547  0.05
Michalowski 1933   76  0.0076  0.0074  0.0474  0.0487  0.0268  0.03
Milkina 1970   7  0.473  0.163  0.309  0.813  0.767  0.78
Mohovich 1999   36  0.2126  0.0026  0.1229  0.5357  0.0632  0.18
Moravec 1969   12  0.404  0.105  0.208  0.835  0.698  0.76
Morozova 2008   42  0.1842  0.0043  0.0742  0.1781  0.0344  0.07
Neighaus 1950   20  0.3219  0.0019  0.1224  0.6451  0.0829  0.23
Niedzielski 1931   80  -0.0143  0.0073  0.0561  0.0586  0.0263  0.03
Ohlsson 1999   27  0.2518  0.0034  0.1432  0.5166  0.0439  0.14
Osinska 1989   17  0.3530  0.0016  0.1415  0.7224  0.5013  0.60
Pachmann 1927   81  -0.0259  0.0084  0.0283  0.0286  0.0280  0.02
Paderewski 1930   89  -0.0977  0.0082  0.0281  0.0290  0.0185  0.01
Perlemuter 1992   78  -0.0178  0.0078  0.0380  0.0388  0.0277  0.02
Pierdomenico 2008   56  0.1038  0.0059  0.0470  0.0487  0.0262  0.03
Poblocka 1999   67  0.0641  0.0072  0.0476  0.0482  0.0360  0.03
Rabcewiczowa 1932   2  0.525  0.034  0.316  0.842  0.814  0.82
Rachmaninoff 1923   28  0.2517  0.0035  0.1236  0.4764  0.0438  0.14
Rangell 2001   45  0.178  0.0125  0.1028  0.5647  0.0633  0.18
Richter 1976   74  0.0168  0.0083  0.0284  0.0289  0.0279  0.02
Rosen 1989   35  0.2154  0.0040  0.0840  0.2754  0.0441  0.10
Rosenthal 1930   21  0.3135  0.0022  0.1720  0.6919  0.4519  0.56
Rosenthal 1931   31  0.2323  0.0032  0.1922  0.6527  0.5116  0.58
Rosenthal 1931b   34  0.2255  0.0031  0.1425  0.6226  0.5020  0.56
Rosenthal 1931c   23  0.2945  0.0023  0.1716  0.7124  0.4717  0.58
Rosenthal 1931d   37  0.2120  0.0030  0.1523  0.6520  0.4621  0.55
Rossi 2007   41  0.1844  0.0048  0.0562  0.0541  0.1143  0.07
Rubinstein 1939   10  0.4222  0.0011  0.2710  0.806  0.5511  0.66
Rubinstein 1952   32  0.2237  0.0024  0.0926  0.6141  0.1228  0.27
Rubinstein 1966   26  0.2639  0.0029  0.1231  0.5352  0.0535  0.16
Schilhawsky 1960   82  -0.0289  0.0090  0.0190  0.0190  0.0187  0.01
Shebanova 2002   84  -0.0346  0.0089  0.0189  0.0189  0.0188  0.01
Smith 1975   1  0.561  0.311  0.301  0.874  0.812  0.84
Sokolov 2002   15  0.3816  0.0012  0.1721  0.6712  0.5215  0.59
Sztompka 1959   61  0.0866  0.0062  0.0563  0.0586  0.0267  0.03
Tomsic 1995   29  0.2463  0.0028  0.1330  0.5349  0.0631  0.18
Uninsky 1932   40  0.1928  0.0041  0.0841  0.1878  0.0442  0.08
Uninsky 1971   13  0.3925  0.0013  0.1611  0.7824  0.3322  0.51
Wasowski 1980   30  0.2329  0.0037  0.1235  0.4747  0.0830  0.19
Zak 1937   73  0.0490  0.0076  0.0468  0.0486  0.0265  0.03
Zak 1951   68  0.0550  0.0071  0.0565  0.0586  0.0266  0.03
Random 1   75  0.0179  0.0070  0.0564  0.0544  0.1145  0.07
Random 2   49  0.129  0.0127  0.1034  0.483  0.5423  0.51
Random 3   48  0.1324  0.0042  0.0643  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).