Czerny 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.2711  0.0139  0.1040  0.2754  0.0543  0.12
Anderszewski 2003   74  0.1439  0.0065  0.0468  0.0457  0.0565  0.04
Ashkenazy 1981   2  0.605  0.063  0.232  0.8813  0.793  0.83
Bacha 2000   64  0.1773  0.0066  0.0470  0.0476  0.0372  0.03
Badura 1965   59  0.2074  0.0058  0.0562  0.0570  0.0367  0.04
Barbosa 1983   39  0.3215  0.0143  0.0943  0.2154  0.0546  0.10
Biret 1990   63  0.1840  0.0080  0.0383  0.0378  0.0380  0.03
Blet 2003   30  0.3666  0.0036  0.1133  0.4342  0.2535  0.33
Block 1995   55  0.2455  0.0051  0.0947  0.0982  0.0361  0.05
Blumental 1952   29  0.3648  0.0027  0.1425  0.6013  0.5723  0.58
Boshniakovich 1969   61  0.1975  0.0064  0.0561  0.0573  0.0468  0.04
Brailowsky 1960   82  0.0643  0.0070  0.0374  0.0376  0.0473  0.03
Bunin 1987   28  0.3851  0.0030  0.1528  0.5721  0.4827  0.52
Bunin 1987b   27  0.3916  0.0029  0.1327  0.5821  0.4826  0.53
Chiu 1999   10  0.507  0.0310  0.169  0.8013  0.678  0.73
Cohen 1997   67  0.1637  0.0072  0.0371  0.0367  0.0379  0.03
Cortot 1951   88  0.0067  0.0088  0.0288  0.0291  0.0191  0.01
Csalog 1996   53  0.2526  0.0054  0.0849  0.0855  0.0649  0.07
Czerny 1949   65  0.1757  0.0076  0.0379  0.0351  0.0760  0.05
Czerny 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Duchoud 2007   17  0.4712  0.0123  0.1420  0.7011  0.5819  0.64
Ezaki 2006   79  0.1021  0.0074  0.0465  0.0476  0.0371  0.03
Falvay 1989   40  0.3168  0.0050  0.0850  0.0839  0.1742  0.12
Farrell 1958   52  0.2653  0.0055  0.0851  0.0849  0.0748  0.07
Ferenczy 1958   91  -0.1276  0.0091  0.0191  0.0186  0.0290  0.01
Fliere 1977   6  0.534  0.076  0.287  0.8321  0.657  0.73
Fou 1978   16  0.4832  0.0020  0.2016  0.746  0.6411  0.69
Francois 1956   78  0.1177  0.0081  0.0284  0.0277  0.0389  0.02
Friedman 1923   35  0.3441  0.0033  0.1232  0.4442  0.2833  0.35
Friedman 1923b   34  0.3444  0.0032  0.1431  0.4641  0.3331  0.39
Friedman 1930   26  0.3929  0.0025  0.1230  0.5137  0.3929  0.45
Garcia 2007   38  0.3258  0.0034  0.1134  0.3936  0.2934  0.34
Garcia 2007b   25  0.3952  0.0028  0.1335  0.3933  0.3432  0.36
Gierzod 1998   87  0.0078  0.0068  0.0376  0.0373  0.0378  0.03
Gornostaeva 1994   69  0.1559  0.0063  0.0564  0.0580  0.0370  0.04
Groot 1988   9  0.528  0.027  0.118  0.8010  0.6012  0.69
Harasiewicz 1955   46  0.2849  0.0047  0.0756  0.0755  0.0655  0.06
Hatto 1993   13  0.4923  0.0012  0.1412  0.7712  0.6015  0.68
Hatto 1997   32  0.3579  0.0042  0.1337  0.3453  0.0639  0.14
Horowitz 1949   19  0.4650  0.0024  0.1821  0.6814  0.6716  0.67
Indjic 1988   15  0.4820  0.0016  0.1515  0.7517  0.5917  0.67
Kapell 1951   7  0.539  0.0211  0.1910  0.795  0.669  0.72
Kissin 1993   11  0.5010  0.018  0.145  0.847  0.795  0.81
Kushner 1989   21  0.4538  0.0026  0.1224  0.6223  0.4525  0.53
Luisada 1991   18  0.4631  0.0015  0.1614  0.7513  0.6410  0.69
Lushtak 2004   73  0.1460  0.0079  0.0285  0.0283  0.0284  0.02
Malcuzynski 1961   44  0.3086  0.0046  0.0755  0.0755  0.0651  0.06
Magaloff 1978   66  0.1787  0.0056  0.0757  0.0780  0.0356  0.05
Magin 1975   31  0.3617  0.0022  0.1426  0.6022  0.5922  0.59
Michalowski 1933   51  0.2661  0.0048  0.0753  0.0768  0.0654  0.06
Milkina 1970   57  0.2162  0.0060  0.0563  0.0552  0.0658  0.05
Mohovich 1999   71  0.1469  0.0067  0.0469  0.0468  0.0469  0.04
Moravec 1969   20  0.4522  0.0018  0.1422  0.6511  0.5620  0.60
Morozova 2008   23  0.4425  0.0013  0.1413  0.769  0.6114  0.68
Neighaus 1950   56  0.2180  0.0062  0.0752  0.0774  0.0463  0.05
Niedzielski 1931   24  0.4327  0.0014  0.1417  0.7310  0.6313  0.68
Ohlsson 1999   42  0.3063  0.0040  0.0941  0.2557  0.0544  0.11
Osinska 1989   84  0.0381  0.0086  0.0286  0.0288  0.0282  0.02
Pachmann 1927   60  0.1982  0.0057  0.0660  0.0658  0.0653  0.06
Paderewski 1930   47  0.2870  0.0049  0.0754  0.0759  0.0652  0.06
Perlemuter 1992   33  0.3435  0.0031  0.1329  0.5133  0.4728  0.49
Pierdomenico 2008   43  0.3046  0.0045  0.0745  0.1441  0.1638  0.15
Poblocka 1999   22  0.4513  0.0117  0.2019  0.707  0.6318  0.66
Rabcewiczowa 1932   62  0.1833  0.0073  0.0467  0.0452  0.0757  0.05
Rachmaninoff 1923   8  0.533  0.164  0.2911  0.785  0.796  0.78
Rangell 2001   48  0.2728  0.0053  0.0946  0.0961  0.0550  0.07
Richter 1976   4  0.556  0.065  0.294  0.866  0.821  0.84
Rosen 1989   54  0.2556  0.0052  0.0848  0.0878  0.0362  0.05
Rosenthal 1930   36  0.3330  0.0037  0.0936  0.3627  0.4330  0.39
Rosenthal 1931   83  0.0571  0.0078  0.0377  0.0376  0.0377  0.03
Rosenthal 1931b   85  0.0288  0.0084  0.0375  0.0385  0.0287  0.02
Rosenthal 1931c   72  0.1472  0.0071  0.0372  0.0378  0.0288  0.02
Rosenthal 1931d   80  0.0747  0.0075  0.0466  0.0476  0.0381  0.03
Rossi 2007   89  -0.0589  0.0087  0.0287  0.0277  0.0383  0.02
Rubinstein 1939   49  0.2718  0.0035  0.0942  0.2430  0.2037  0.22
Rubinstein 1952   45  0.2954  0.0044  0.0944  0.1745  0.1041  0.13
Rubinstein 1966   37  0.3364  0.0041  0.1038  0.3359  0.0540  0.13
Schilhawsky 1960   68  0.1545  0.0069  0.0378  0.0360  0.0566  0.04
Shebanova 2002   3  0.582  0.172  0.251  0.8911  0.764  0.82
Smith 1975   77  0.1190  0.0083  0.0380  0.0375  0.0374  0.03
Sokolov 2002   70  0.1465  0.0061  0.0658  0.0672  0.0364  0.04
Sztompka 1959   1  0.621  0.311  0.313  0.873  0.812  0.84
Tomsic 1995   41  0.3142  0.0038  0.0839  0.2764  0.0445  0.10
Uninsky 1932   14  0.4919  0.0019  0.1618  0.7318  0.4921  0.60
Uninsky 1971   58  0.2034  0.0059  0.0659  0.0673  0.0459  0.05
Wasowski 1980   12  0.5014  0.0121  0.1923  0.6429  0.4824  0.55
Zak 1937   75  0.1291  0.0082  0.0373  0.0383  0.0375  0.03
Zak 1951   81  0.0783  0.0085  0.0381  0.0386  0.0376  0.03
Average   5  0.5424  0.009  0.186  0.8448  0.0736  0.24
Random 1   90  -0.0584  0.0089  0.0289  0.0275  0.0385  0.02
Random 2   76  0.1185  0.0077  0.0382  0.0321  0.3647  0.10
Random 3   86  0.0136  0.0090  0.0190  0.0159  0.0386  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).