Czerny 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.6658  0.0021  0.1523  0.4916  0.4826  0.48
Anderszewski 2003   21  0.6512  0.0126  0.1024  0.4714  0.5025  0.48
Ashkenazy 1981   46  0.5551  0.0045  0.1045  0.1032  0.2545  0.16
Bacha 2000   66  0.4981  0.0066  0.0467  0.0441  0.1163  0.07
Badura 1965   41  0.5766  0.0041  0.0741  0.1922  0.4141  0.28
Barbosa 1983   62  0.5022  0.0063  0.0559  0.0544  0.1164  0.07
Biret 1990   56  0.5245  0.0052  0.0654  0.0652  0.0574  0.05
Blet 2003   69  0.4768  0.0077  0.0381  0.0351  0.0679  0.04
Block 1995   73  0.4682  0.0071  0.0472  0.0461  0.0580  0.04
Blumental 1952   59  0.5115  0.0046  0.0748  0.0741  0.1360  0.10
Boshniakovich 1969   8  0.6913  0.0010  0.1213  0.5614  0.5713  0.56
Brailowsky 1960   78  0.4244  0.0081  0.0385  0.0367  0.0576  0.04
Bunin 1987   39  0.5838  0.0037  0.0935  0.343  0.5630  0.44
Bunin 1987b   44  0.5653  0.0039  0.0936  0.293  0.5534  0.40
Chiu 1999   74  0.4477  0.0078  0.0470  0.0475  0.0383  0.03
Cohen 1997   87  0.2942  0.0083  0.0287  0.0255  0.0487  0.03
Cortot 1951   37  0.597  0.0240  0.0839  0.251  0.7232  0.42
Csalog 1996   86  0.3454  0.0080  0.0474  0.0481  0.0385  0.03
Czerny 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1990   1  0.791  0.341  0.331  0.881  0.881  0.88
Duchoud 2007   75  0.4383  0.0072  0.0464  0.0440  0.1561  0.08
Ezaki 2006   15  0.6639  0.0018  0.1414  0.5413  0.5910  0.56
Falvay 1989   81  0.3974  0.0087  0.0471  0.0479  0.0384  0.03
Farrell 1958   38  0.596  0.0323  0.1129  0.426  0.5923  0.50
Ferenczy 1958   71  0.4760  0.0076  0.0383  0.0352  0.0486  0.03
Fliere 1977   7  0.6975  0.0015  0.1717  0.5420  0.3728  0.45
Fou 1978   52  0.5484  0.0047  0.0746  0.0762  0.0568  0.06
Francois 1956   45  0.5569  0.0061  0.0655  0.0626  0.4347  0.16
Friedman 1923   31  0.6143  0.0033  0.1031  0.396  0.5927  0.48
Friedman 1923b   30  0.6185  0.0029  0.0828  0.447  0.6020  0.51
Friedman 1930   35  0.6049  0.0043  0.0843  0.1712  0.5340  0.30
Garcia 2007   53  0.5434  0.0051  0.0557  0.0523  0.4150  0.14
Garcia 2007b   50  0.5470  0.0035  0.0637  0.2822  0.4639  0.36
Gierzod 1998   3  0.763  0.143  0.344  0.707  0.654  0.67
Gornostaeva 1994   33  0.6021  0.0044  0.0844  0.1524  0.3344  0.22
Groot 1988   77  0.4361  0.0060  0.0562  0.0573  0.0481  0.04
Harasiewicz 1955   4  0.745  0.034  0.296  0.668  0.685  0.67
Hatto 1993   19  0.6523  0.0014  0.1710  0.587  0.5414  0.56
Hatto 1997   16  0.6648  0.0013  0.1311  0.576  0.5511  0.56
Horowitz 1949   57  0.5186  0.0069  0.0473  0.0441  0.2359  0.10
Indjic 1988   13  0.6729  0.0012  0.207  0.596  0.569  0.57
Kapell 1951   26  0.6319  0.0011  0.1519  0.539  0.4724  0.50
Kissin 1993   11  0.6837  0.008  0.148  0.598  0.657  0.62
Kushner 1989   22  0.6452  0.0030  0.0933  0.3827  0.4233  0.40
Luisada 1991   51  0.5478  0.0062  0.0650  0.0650  0.0666  0.06
Lushtak 2004   43  0.5646  0.0048  0.0747  0.0744  0.1062  0.08
Malcuzynski 1961   6  0.694  0.066  0.262  0.701  0.782  0.74
Magaloff 1978   48  0.5517  0.0059  0.0561  0.0531  0.2455  0.11
Magin 1975   28  0.6224  0.0016  0.1420  0.5114  0.5022  0.50
Michalowski 1933   54  0.5376  0.0036  0.0738  0.278  0.5637  0.39
Milkina 1970   17  0.669  0.0122  0.1218  0.5318  0.5019  0.51
Mohovich 1999   63  0.5087  0.0064  0.0651  0.0657  0.0573  0.05
Moravec 1969   60  0.5150  0.0054  0.0465  0.0419  0.4551  0.13
Morozova 2008   36  0.6032  0.0032  0.0934  0.3512  0.4635  0.40
Neighaus 1950   12  0.6818  0.0020  0.1215  0.5411  0.5615  0.55
Niedzielski 1931   40  0.5727  0.0042  0.0742  0.1724  0.3543  0.24
Ohlsson 1999   32  0.6162  0.0034  0.1132  0.3925  0.3936  0.39
Osinska 1989   9  0.6925  0.0019  0.129  0.5826  0.4917  0.53
Pachmann 1927   65  0.4956  0.0073  0.0379  0.0316  0.4257  0.11
Paderewski 1930   70  0.4767  0.0067  0.0563  0.0517  0.4549  0.15
Perlemuter 1992   61  0.5130  0.0070  0.0476  0.0459  0.0475  0.04
Pierdomenico 2008   80  0.4079  0.0079  0.0558  0.0538  0.2356  0.11
Poblocka 1999   14  0.6688  0.0017  0.1421  0.5113  0.5218  0.51
Rabcewiczowa 1932   64  0.5036  0.0055  0.0466  0.0445  0.0867  0.06
Rachmaninoff 1923   24  0.6340  0.0024  0.1325  0.467  0.5521  0.50
Rangell 2001   68  0.4831  0.0065  0.0653  0.0618  0.4246  0.16
Richter 1976   23  0.6471  0.0025  0.1622  0.499  0.6016  0.54
Rosen 1989   55  0.5363  0.0058  0.0560  0.0573  0.0572  0.05
Rosenthal 1930   67  0.4811  0.0168  0.0475  0.0427  0.3454  0.12
Rosenthal 1931   82  0.3989  0.0082  0.0377  0.0356  0.0678  0.04
Rosenthal 1931b   85  0.3780  0.0084  0.0286  0.0259  0.0589  0.03
Rosenthal 1931c   79  0.4247  0.0074  0.0378  0.0340  0.1565  0.07
Rosenthal 1931d   84  0.3757  0.0085  0.0384  0.0374  0.0488  0.03
Rossi 2007   72  0.4664  0.0075  0.0380  0.0348  0.0770  0.05
Rubinstein 1939   42  0.5616  0.0050  0.0652  0.0619  0.3948  0.15
Rubinstein 1952   76  0.4326  0.0057  0.0468  0.0456  0.0582  0.04
Rubinstein 1966   49  0.5514  0.0056  0.0469  0.0448  0.0771  0.05
Schilhawsky 1960   2  0.762  0.272  0.353  0.701  0.733  0.71
Shebanova 2002   25  0.6320  0.0031  0.1230  0.4024  0.3638  0.38
Smith 1975   47  0.5535  0.0053  0.0656  0.0634  0.2353  0.12
Sokolov 2002   58  0.5159  0.0049  0.0649  0.0632  0.2352  0.12
Sztompka 1959   5  0.7310  0.015  0.235  0.686  0.646  0.66
Tomsic 1995   83  0.3890  0.0086  0.0382  0.0360  0.0677  0.04
Uninsky 1932   20  0.658  0.019  0.1416  0.545  0.5912  0.56
Uninsky 1971   10  0.6828  0.007  0.1912  0.576  0.638  0.60
Wasowski 1980   34  0.6055  0.0038  0.0940  0.2332  0.2942  0.26
Zak 1937   27  0.6241  0.0028  0.0926  0.4621  0.4329  0.44
Zak 1951   29  0.6133  0.0027  0.0827  0.4623  0.4131  0.43
Random 1   88  0.0072  0.0088  0.0288  0.022  0.5758  0.11
Random 2   89  -0.0173  0.0089  0.0189  0.0118  0.3269  0.06
Random 3   90  -0.0965  0.0090  0.0190  0.0154  0.0490  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).