Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   8  0.822  0.222  0.262  0.611  0.622  0.61
Anderszewski 2003   60  0.6064  0.0052  0.0460  0.0424  0.3057  0.11
Ashkenazy 1981   33  0.7066  0.0033  0.0532  0.1823  0.3336  0.24
Bacha 2000   71  0.5171  0.0075  0.0284  0.0240  0.1271  0.05
Badura 1965   45  0.6643  0.0035  0.0530  0.184  0.5925  0.33
Barbosa 1983   53  0.6367  0.0032  0.0634  0.1811  0.4330  0.28
Biret 1990   29  0.7127  0.0044  0.0443  0.0915  0.3343  0.17
Blet 2003   17  0.7669  0.0022  0.0920  0.327  0.5120  0.40
Block 1995   65  0.5430  0.0076  0.0375  0.0352  0.0484  0.03
Blumental 1952   82  0.4058  0.0071  0.0373  0.0337  0.1270  0.06
Boshniakovich 1969   50  0.6436  0.0065  0.0369  0.0332  0.1964  0.08
Brailowsky 1960   52  0.6310  0.0269  0.0381  0.0343  0.1072  0.05
Bunin 1987   15  0.7647  0.0015  0.0816  0.387  0.4917  0.43
Bunin 1987b   14  0.7616  0.0114  0.0817  0.387  0.4915  0.43
Chiu 1999   64  0.5570  0.0063  0.0462  0.0436  0.1466  0.07
Cohen 1997   84  0.2425  0.0087  0.0377  0.0358  0.0485  0.03
Cortot 1951   59  0.6153  0.0064  0.0372  0.0331  0.2663  0.09
Csalog 1996   81  0.4133  0.0085  0.0374  0.0351  0.0678  0.04
Czerny 1949   19  0.7544  0.0020  0.0913  0.4113  0.4714  0.44
Czerny 1990   6  0.8380  0.007  0.138  0.517  0.489  0.49
Duchoud 2007   25  0.7422  0.0013  0.0815  0.387  0.4916  0.43
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   24  0.7412  0.0125  0.0725  0.2720  0.3128  0.29
Farrell 1958   62  0.5648  0.0074  0.0283  0.0272  0.0389  0.02
Ferenczy 1958   40  0.6832  0.0059  0.0646  0.0611  0.4445  0.16
Fliere 1977   7  0.8319  0.0111  0.1810  0.468  0.4411  0.45
Fou 1978   43  0.676  0.0324  0.0829  0.2129  0.3333  0.26
Francois 1956   21  0.7528  0.008  0.1212  0.439  0.4813  0.45
Friedman 1923   87  0.2285  0.0083  0.0371  0.0324  0.3460  0.10
Friedman 1923b   86  0.2386  0.0082  0.0282  0.0223  0.3365  0.08
Friedman 1930   77  0.4676  0.0058  0.0648  0.0624  0.3550  0.14
Garcia 2007   83  0.3851  0.0078  0.0380  0.0358  0.0483  0.03
Garcia 2007b   85  0.2449  0.0086  0.0288  0.0259  0.0487  0.03
Gierzod 1998   35  0.6941  0.0049  0.0458  0.0424  0.2262  0.09
Gornostaeva 1994   10  0.809  0.0212  0.1314  0.405  0.5112  0.45
Groot 1988   16  0.7626  0.0023  0.0923  0.2821  0.3627  0.32
Harasiewicz 1955   46  0.6668  0.0017  0.0921  0.3012  0.4022  0.35
Hatto 1993   80  0.417  0.0343  0.0640  0.1119  0.3342  0.19
Hatto 1997   72  0.505  0.0428  0.0736  0.1710  0.4531  0.28
Horowitz 1949   67  0.5477  0.0072  0.0378  0.0335  0.1767  0.07
Indjic 1988   78  0.4329  0.0042  0.0439  0.1215  0.4037  0.22
Kapell 1951   31  0.7131  0.0048  0.0551  0.0525  0.3849  0.14
Kissin 1993   18  0.7659  0.0029  0.0724  0.2812  0.4821  0.37
Kushner 1989   23  0.7478  0.0034  0.0533  0.1814  0.3734  0.26
Luisada 1991   39  0.6972  0.0053  0.0554  0.0526  0.2752  0.12
Lushtak 2004   12  0.7814  0.0110  0.174  0.562  0.605  0.58
Malcuzynski 1961   4  0.844  0.055  0.123  0.594  0.613  0.60
Magaloff 1978   22  0.7546  0.0030  0.0627  0.2426  0.3329  0.28
Magin 1975   54  0.6387  0.0051  0.0463  0.0424  0.2358  0.10
Michalowski 1933   76  0.4781  0.0062  0.0457  0.0435  0.2856  0.11
Milkina 1970   51  0.6456  0.0066  0.0466  0.0458  0.0576  0.04
Mohovich 1999   3  0.843  0.093  0.147  0.542  0.626  0.58
Moravec 1969   63  0.5562  0.0077  0.0379  0.0373  0.0380  0.03
Morozova 2008   28  0.7215  0.0116  0.0922  0.306  0.3824  0.34
Neighaus 1950   9  0.808  0.029  0.146  0.547  0.547  0.54
Niedzielski 1931   79  0.4190  0.0084  0.0287  0.0258  0.0481  0.03
Ohlsson 1999   13  0.7713  0.0121  0.0811  0.436  0.558  0.49
Osinska 1989   30  0.7121  0.0050  0.0459  0.0418  0.3453  0.12
Pachmann 1927   75  0.4788  0.0081  0.0553  0.0550  0.0573  0.05
Paderewski 1930   57  0.6273  0.0070  0.0376  0.0350  0.0482  0.03
Perlemuter 1992   32  0.7140  0.0036  0.0537  0.1322  0.3439  0.21
Pierdomenico 2008   37  0.6960  0.0056  0.0455  0.0426  0.2854  0.11
Poblocka 1999   20  0.7555  0.0031  0.0628  0.2411  0.4823  0.34
Rabcewiczowa 1932   38  0.6935  0.0057  0.0649  0.0620  0.3648  0.15
Rachmaninoff 1923   49  0.6437  0.0038  0.0735  0.1716  0.3535  0.24
Rangell 2001   42  0.6717  0.0154  0.0552  0.059  0.3951  0.14
Richter 1976   61  0.6091  0.0067  0.0461  0.0462  0.0477  0.04
Rosen 1989   26  0.7311  0.0119  0.0819  0.327  0.5418  0.42
Rosenthal 1930   47  0.6561  0.0055  0.0647  0.0615  0.4547  0.16
Rosenthal 1931   68  0.5345  0.0061  0.0464  0.0432  0.2459  0.10
Rosenthal 1931b   73  0.4742  0.0079  0.0285  0.0242  0.1079  0.04
Rosenthal 1931c   44  0.6774  0.0040  0.0542  0.0911  0.4740  0.21
Rosenthal 1931d   70  0.5138  0.0080  0.0368  0.0363  0.0486  0.03
Rossi 2007   74  0.4782  0.0060  0.0367  0.0311  0.2861  0.09
Rubinstein 1939   88  0.2079  0.0089  0.0289  0.0280  0.0388  0.02
Rubinstein 1952   66  0.5434  0.0041  0.0444  0.0953  0.0669  0.07
Rubinstein 1966   56  0.6218  0.0127  0.0638  0.1226  0.3938  0.22
Schilhawsky 1960   34  0.6957  0.0026  0.0626  0.2510  0.4226  0.32
Shebanova 2002   55  0.6350  0.0068  0.0370  0.0345  0.1074  0.05
Smith 1975   2  0.8423  0.004  0.099  0.514  0.4310  0.47
Sokolov 2002   11  0.7920  0.0118  0.1218  0.357  0.4619  0.40
Sztompka 1959   27  0.7275  0.0039  0.0441  0.1026  0.3541  0.19
Tomsic 1995   5  0.8439  0.006  0.145  0.552  0.624  0.58
Uninsky 1932   58  0.6254  0.0045  0.0445  0.0826  0.3446  0.16
Uninsky 1971   36  0.6924  0.0046  0.0650  0.0618  0.4244  0.16
Wasowski 1980   69  0.5165  0.0073  0.0465  0.0471  0.0475  0.04
Zak 1937   48  0.6589  0.0047  0.0456  0.0420  0.3255  0.11
Zak 1951   41  0.6863  0.0037  0.0631  0.1815  0.4132  0.27
Average   1  0.891  0.321  0.311  0.707  0.541  0.61
Random 1   90  -0.1252  0.0091  0.0191  0.0165  0.0391  0.02
Random 2   91  -0.1783  0.0090  0.0290  0.0285  0.0290  0.02
Random 3   89  0.0784  0.0088  0.0286  0.0227  0.2268  0.07

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).