Gierzod 1998

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.749  0.016  0.278  0.651  0.699  0.67
Anderszewski 2003   29  0.6725  0.0029  0.0929  0.417  0.5829  0.49
Ashkenazy 1981   41  0.6129  0.0046  0.0747  0.0716  0.4351  0.17
Bacha 2000   81  0.4766  0.0076  0.0376  0.0334  0.1884  0.07
Badura 1965   43  0.6182  0.0040  0.0739  0.212  0.6338  0.36
Barbosa 1983   65  0.5411  0.0149  0.0653  0.0622  0.4650  0.17
Biret 1990   39  0.6226  0.0038  0.0837  0.2215  0.4440  0.31
Blet 2003   53  0.5763  0.0066  0.0459  0.0412  0.4265  0.13
Block 1995   77  0.5046  0.0050  0.0651  0.0623  0.3261  0.14
Blumental 1952   56  0.5627  0.0039  0.0741  0.1723  0.2844  0.22
Boshniakovich 1969   7  0.751  0.181  0.1814  0.601  0.7410  0.67
Brailowsky 1960   78  0.5059  0.0078  0.0384  0.0339  0.2380  0.08
Bunin 1987   80  0.4856  0.0081  0.0472  0.0428  0.3572  0.12
Bunin 1987b   84  0.4675  0.0080  0.0385  0.0328  0.3774  0.11
Chiu 1999   70  0.5260  0.0063  0.0380  0.0324  0.2778  0.09
Cohen 1997   87  0.3767  0.0087  0.0464  0.0440  0.1185  0.07
Cortot 1951   86  0.4583  0.0086  0.0470  0.0451  0.0588  0.04
Csalog 1996   69  0.5278  0.0065  0.0466  0.0412  0.4464  0.13
Czerny 1949   5  0.7610  0.017  0.177  0.654  0.708  0.67
Czerny 1990   6  0.756  0.048  0.109  0.632  0.766  0.69
Duchoud 2007   71  0.5281  0.0072  0.0471  0.049  0.4566  0.13
Ezaki 2006   27  0.6768  0.0034  0.1034  0.3512  0.5931  0.45
Falvay 1989   55  0.5757  0.0071  0.0375  0.0341  0.1981  0.08
Farrell 1958   61  0.5536  0.0053  0.0648  0.0629  0.3754  0.15
Ferenczy 1958   63  0.5471  0.0073  0.0382  0.0325  0.3775  0.11
Fliere 1977   2  0.795  0.103  0.212  0.771  0.753  0.76
Fou 1978   31  0.6549  0.0030  0.0932  0.378  0.5533  0.45
Francois 1956   52  0.5853  0.0061  0.0463  0.047  0.6056  0.15
Friedman 1923   57  0.5635  0.0059  0.0461  0.0424  0.4267  0.13
Friedman 1923b   54  0.5739  0.0055  0.0745  0.0722  0.4647  0.18
Friedman 1930   44  0.6079  0.0045  0.0650  0.0611  0.5346  0.18
Garcia 2007   49  0.5869  0.0057  0.0557  0.059  0.5353  0.16
Garcia 2007b   46  0.5961  0.0047  0.0746  0.0717  0.4945  0.19
Gierzod 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   26  0.6828  0.0032  0.0926  0.441  0.7423  0.57
Groot 1988   76  0.5043  0.0056  0.0556  0.0541  0.1186  0.07
Harasiewicz 1955   10  0.7319  0.019  0.125  0.672  0.745  0.70
Hatto 1993   22  0.7015  0.0112  0.1713  0.613  0.6218  0.61
Hatto 1997   20  0.7013  0.0113  0.1815  0.603  0.6415  0.62
Horowitz 1949   68  0.5273  0.0067  0.0460  0.0421  0.4659  0.14
Indjic 1988   16  0.7123  0.0011  0.1412  0.613  0.6414  0.62
Kapell 1951   32  0.6552  0.0037  0.1133  0.3621  0.3637  0.36
Kissin 1993   1  0.792  0.182  0.251  0.791  0.831  0.81
Kushner 1989   14  0.7116  0.0124  0.1122  0.526  0.6419  0.58
Luisada 1991   25  0.6831  0.0026  0.1225  0.465  0.6425  0.54
Lushtak 2004   38  0.6262  0.0041  0.0644  0.1510  0.5443  0.28
Malcuzynski 1961   48  0.5947  0.0051  0.0654  0.0613  0.4648  0.17
Magaloff 1978   36  0.6338  0.0044  0.0843  0.151  0.6439  0.31
Magin 1975   12  0.7140  0.0014  0.1610  0.611  0.6713  0.64
Michalowski 1933   73  0.5176  0.0064  0.0473  0.0416  0.4563  0.13
Milkina 1970   11  0.7214  0.0118  0.1811  0.612  0.7111  0.66
Mohovich 1999   37  0.6330  0.0042  0.0740  0.1719  0.5341  0.30
Moravec 1969   72  0.5154  0.0079  0.0383  0.0326  0.3377  0.10
Morozova 2008   35  0.6365  0.0035  0.0836  0.289  0.5135  0.38
Neighaus 1950   24  0.6832  0.0025  0.1224  0.463  0.6924  0.56
Niedzielski 1931   45  0.6048  0.0028  0.1131  0.372  0.5532  0.45
Ohlsson 1999   18  0.7184  0.0016  0.1716  0.592  0.7112  0.65
Osinska 1989   3  0.783  0.165  0.253  0.751  0.802  0.77
Pachmann 1927   66  0.5342  0.0082  0.0381  0.035  0.5171  0.12
Paderewski 1930   79  0.4872  0.0074  0.0379  0.0320  0.4570  0.12
Perlemuter 1992   50  0.5858  0.0058  0.0465  0.0417  0.4562  0.13
Pierdomenico 2008   58  0.5637  0.0068  0.0558  0.057  0.5252  0.16
Poblocka 1999   17  0.7120  0.0015  0.1517  0.561  0.6716  0.61
Rabcewiczowa 1932   59  0.5641  0.0048  0.0652  0.0617  0.3557  0.14
Rachmaninoff 1923   40  0.6174  0.0031  0.0935  0.3310  0.5334  0.42
Rangell 2001   74  0.5144  0.0075  0.0377  0.0323  0.3976  0.11
Richter 1976   47  0.5950  0.0054  0.0649  0.0619  0.5149  0.17
Rosen 1989   15  0.7112  0.0119  0.2118  0.543  0.6817  0.61
Rosenthal 1930   62  0.5555  0.0069  0.0467  0.0420  0.4960  0.14
Rosenthal 1931   82  0.4785  0.0083  0.0286  0.0226  0.2982  0.08
Rosenthal 1931b   83  0.4786  0.0085  0.0378  0.0329  0.2879  0.09
Rosenthal 1931c   67  0.5370  0.0070  0.0374  0.0317  0.5173  0.12
Rosenthal 1931d   85  0.4587  0.0084  0.0287  0.0230  0.3183  0.08
Rossi 2007   75  0.5133  0.0077  0.0462  0.0420  0.3668  0.12
Rubinstein 1939   51  0.5888  0.0060  0.0469  0.0423  0.3769  0.12
Rubinstein 1952   60  0.5564  0.0052  0.0655  0.0627  0.3655  0.15
Rubinstein 1966   34  0.6521  0.0043  0.0742  0.1618  0.5042  0.28
Schilhawsky 1960   21  0.7022  0.0023  0.1123  0.475  0.6126  0.54
Shebanova 2002   4  0.764  0.114  0.264  0.711  0.744  0.72
Smith 1975   30  0.6745  0.0036  0.0838  0.223  0.6136  0.37
Sokolov 2002   33  0.658  0.0227  0.1127  0.421  0.6627  0.53
Sztompka 1959   9  0.7334  0.0010  0.146  0.652  0.707  0.67
Tomsic 1995   64  0.5451  0.0062  0.0468  0.0417  0.5058  0.14
Uninsky 1932   42  0.6124  0.0022  0.1030  0.387  0.5730  0.47
Uninsky 1971   23  0.697  0.0217  0.1919  0.548  0.6220  0.58
Wasowski 1980   28  0.6777  0.0033  0.1128  0.413  0.6128  0.50
Zak 1937   13  0.7117  0.0121  0.1521  0.526  0.6321  0.57
Zak 1951   19  0.7118  0.0120  0.1320  0.525  0.6322  0.57
Random 1   90  -0.0980  0.0090  0.0190  0.0160  0.0389  0.02
Random 2   88  -0.0289  0.0088  0.0288  0.0231  0.2087  0.06
Random 3   89  -0.0890  0.0089  0.0189  0.0172  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).