Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.606  0.065  0.145  0.489  0.477  0.47
Anderszewski 2003   49  0.4756  0.0060  0.0454  0.0433  0.2266  0.09
Ashkenazy 1981   12  0.5730  0.0013  0.0913  0.3729  0.2719  0.32
Bacha 2000   78  0.3428  0.0063  0.0371  0.0337  0.2369  0.08
Badura 1965   35  0.5246  0.0033  0.0536  0.147  0.4928  0.26
Barbosa 1983   36  0.5241  0.0030  0.0825  0.2224  0.4124  0.30
Biret 1990   53  0.4684  0.0064  0.0372  0.0337  0.1874  0.07
Blet 2003   17  0.5642  0.0046  0.0549  0.0525  0.3050  0.12
Block 1995   68  0.4160  0.0055  0.0456  0.0436  0.1671  0.08
Blumental 1952   31  0.527  0.0412  0.0726  0.216  0.4918  0.32
Boshniakovich 1969   20  0.5535  0.0041  0.0735  0.1420  0.4629  0.25
Brailowsky 1960   25  0.5447  0.0050  0.0648  0.065  0.5235  0.18
Bunin 1987   23  0.5461  0.0021  0.0637  0.1428  0.3032  0.20
Bunin 1987b   22  0.5439  0.0020  0.0632  0.1528  0.3031  0.21
Chiu 1999   9  0.583  0.099  0.116  0.466  0.653  0.55
Cohen 1997   87  0.2162  0.0087  0.0469  0.0465  0.0485  0.04
Cortot 1951   54  0.4674  0.0068  0.0467  0.0429  0.2764  0.10
Csalog 1996   86  0.2351  0.0085  0.0376  0.0344  0.1276  0.06
Czerny 1949   34  0.5248  0.0023  0.0620  0.2622  0.4017  0.32
Czerny 1990   2  0.632  0.132  0.134  0.518  0.535  0.52
Duchoud 2007   30  0.5363  0.0028  0.0722  0.2321  0.4322  0.31
Ezaki 2006   1  0.641  0.141  0.147  0.4414  0.448  0.44
Falvay 1989   14  0.5632  0.0016  0.0814  0.3712  0.4012  0.38
Farrell 1958   52  0.4652  0.0072  0.0551  0.0515  0.3743  0.14
Ferenczy 1958   72  0.3880  0.0082  0.0285  0.0244  0.0884  0.04
Fliere 1977   5  0.6212  0.027  0.132  0.5515  0.524  0.53
Fou 1978   8  0.5815  0.0211  0.088  0.4322  0.4110  0.42
Francois 1956   59  0.4519  0.0129  0.0528  0.1935  0.1639  0.17
Friedman 1923   83  0.2972  0.0080  0.0373  0.0317  0.3758  0.11
Friedman 1923b   84  0.2970  0.0079  0.0287  0.0217  0.3867  0.09
Friedman 1930   71  0.3943  0.0065  0.0459  0.0427  0.3256  0.11
Garcia 2007   85  0.2866  0.0081  0.0377  0.0323  0.3363  0.10
Garcia 2007b   80  0.3373  0.0076  0.0380  0.039  0.4653  0.12
Gierzod 1998   57  0.4537  0.0032  0.0541  0.1137  0.1452  0.12
Gornostaeva 1994   21  0.5425  0.0124  0.0817  0.3222  0.3320  0.32
Groot 1988   24  0.549  0.046  0.139  0.4213  0.449  0.43
Harasiewicz 1955   28  0.5369  0.0045  0.0550  0.0540  0.1472  0.08
Hatto 1993   62  0.4416  0.0242  0.0634  0.1415  0.3630  0.22
Hatto 1997   56  0.4675  0.0047  0.0646  0.0622  0.3445  0.14
Horowitz 1949   46  0.4934  0.0038  0.0542  0.1017  0.3633  0.19
Indjic 1988   65  0.4453  0.0043  0.0639  0.1222  0.3034  0.19
Kapell 1951   64  0.4431  0.0067  0.0466  0.0449  0.0581  0.04
Kissin 1993   26  0.5338  0.0049  0.0647  0.0637  0.2155  0.11
Kushner 1989   3  0.635  0.073  0.113  0.516  0.632  0.57
Luisada 1991   4  0.6213  0.028  0.1112  0.3914  0.4411  0.41
Lushtak 2004   18  0.5520  0.0140  0.0533  0.1432  0.2338  0.18
Malcuzynski 1961   15  0.5626  0.0119  0.0616  0.3630  0.2721  0.31
Magaloff 1978   38  0.5114  0.0218  0.0727  0.2043  0.0947  0.13
Magin 1975   27  0.5379  0.0044  0.0444  0.0819  0.2741  0.15
Michalowski 1933   70  0.3954  0.0054  0.0461  0.0436  0.2462  0.10
Milkina 1970   48  0.4733  0.0027  0.0623  0.2328  0.3126  0.27
Mohovich 1999   44  0.4964  0.0058  0.0465  0.0445  0.0779  0.05
Moravec 1969   61  0.4411  0.0310  0.0918  0.3125  0.2923  0.30
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   19  0.5518  0.0114  0.0811  0.4024  0.3713  0.38
Niedzielski 1931   82  0.3036  0.0078  0.0286  0.0239  0.1277  0.05
Ohlsson 1999   32  0.5227  0.0148  0.0745  0.0749  0.0575  0.06
Osinska 1989   45  0.4989  0.0034  0.0543  0.0832  0.1749  0.12
Pachmann 1927   81  0.3067  0.0083  0.0381  0.0349  0.0582  0.04
Paderewski 1930   76  0.3576  0.0086  0.0374  0.0366  0.0386  0.03
Perlemuter 1992   13  0.578  0.0415  0.1110  0.407  0.566  0.47
Pierdomenico 2008   66  0.4378  0.0061  0.0464  0.0428  0.2360  0.10
Poblocka 1999   43  0.4921  0.0152  0.0453  0.0442  0.1373  0.07
Rabcewiczowa 1932   58  0.4587  0.0066  0.0457  0.0431  0.2361  0.10
Rachmaninoff 1923   6  0.604  0.084  0.121  0.573  0.631  0.60
Rangell 2001   77  0.3568  0.0075  0.0382  0.0358  0.0487  0.03
Richter 1976   42  0.4957  0.0057  0.0463  0.0431  0.2065  0.09
Rosen 1989   41  0.5023  0.0122  0.0524  0.2326  0.3227  0.27
Rosenthal 1930   47  0.4858  0.0031  0.0529  0.1713  0.5425  0.30
Rosenthal 1931   67  0.4249  0.0069  0.0462  0.0410  0.5342  0.15
Rosenthal 1931b   73  0.3865  0.0070  0.0458  0.0410  0.5046  0.14
Rosenthal 1931c   60  0.4429  0.0059  0.0468  0.0417  0.4348  0.13
Rosenthal 1931d   79  0.3345  0.0073  0.0378  0.0326  0.2668  0.09
Rossi 2007   75  0.3690  0.0077  0.0283  0.0217  0.3470  0.08
Rubinstein 1939   69  0.4024  0.0174  0.0379  0.0318  0.4154  0.11
Rubinstein 1952   74  0.3644  0.0084  0.0284  0.0259  0.0588  0.03
Rubinstein 1966   39  0.5086  0.0053  0.0460  0.0424  0.3451  0.12
Schilhawsky 1960   63  0.4471  0.0071  0.0455  0.0450  0.0583  0.04
Shebanova 2002   29  0.5317  0.0125  0.0719  0.3023  0.3915  0.34
Smith 1975   11  0.5781  0.0039  0.0430  0.1639  0.1640  0.16
Sokolov 2002   10  0.5859  0.0017  0.0715  0.3617  0.3914  0.37
Sztompka 1959   16  0.5622  0.0126  0.0921  0.2617  0.4316  0.33
Tomsic 1995   37  0.5110  0.0337  0.0440  0.1238  0.1744  0.14
Uninsky 1932   33  0.5250  0.0051  0.0552  0.0527  0.2357  0.11
Uninsky 1971   50  0.4755  0.0062  0.0375  0.0345  0.0878  0.05
Wasowski 1980   40  0.5077  0.0056  0.0370  0.0316  0.3559  0.10
Zak 1937   55  0.4640  0.0036  0.0538  0.1433  0.2336  0.18
Zak 1951   51  0.4785  0.0035  0.0431  0.1535  0.2237  0.18
Random 1   90  -0.0282  0.0090  0.0190  0.0163  0.0390  0.02
Random 2   89  -0.0288  0.0088  0.0189  0.0150  0.0589  0.02
Random 3   88  0.0083  0.0089  0.0288  0.0240  0.1380  0.05

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).